Search results “Data mining im personal management pdf”
Interview with a Data Analyst
This video is part of the Udacity course "Intro to Programming". Watch the full course at https://www.udacity.com/course/ud000
Views: 275601 Udacity
Excel Data Analysis: Sort, Filter, PivotTable, Formulas (25 Examples): HCC Professional Day 2012
Download workbook: http://people.highline.edu/mgirvin/ExcelIsFun.htm Learn the basics of Data Analysis at Highline Community College Professional Development Day 2012: Topics in Video: 1. What is Data Analysis? ( 00:53 min mark) 2. How Data Must Be Setup ( 02:53 min mark) Sort: 3. Sort with 1 criteria ( 04:35 min mark) 4. Sort with 2 criteria or more ( 06:27 min mark) 5. Sort by color ( 10:01 min mark) Filter: 6. Filter with 1 criteria ( 11:26 min mark) 7. Filter with 2 criteria or more ( 15:14 min mark) 8. Filter by color ( 16:28 min mark) 9. Filter Text, Numbers, Dates ( 16:50 min mark) 10. Filter by Partial Text ( 20:16 min mark) Pivot Tables: 11. What is a PivotTable? ( 21:05 min mark) 12. Easy 3 step method, Cross Tabulation ( 23:07 min mark) 13. Change the calculation ( 26:52 min mark) 14. More than one calculation ( 28:45 min mark) 15. Value Field Settings (32:36 min mark) 16. Grouping Numbers ( 33:24 min mark) 17. Filter in a Pivot Table ( 35:45 min mark) 18. Slicers ( 37:09 min mark) Charts: 19. Column Charts from Pivot Tables ( 38:37 min mark) Formulas: 20. SUMIFS ( 42:17 min mark) 21. Data Analysis Formula or PivotTables? ( 45:11 min mark) 22. COUNTIF ( 46:12 min mark) 23. Formula to Compare Two Lists: ISNA and MATCH functions ( 47:00 min mark) Getting Data Into Excel 24. Import from CSV file ( 51:21 min mark) 25. Import from Access ( 54:00 min mark) Highline Community College Professional Development Day 2012 Buy excelisfun products: https://teespring.com/stores/excelisfun-store
Views: 1466945 ExcelIsFun
Introduction to Datawarehouse in hindi
Sample Notes : https://drive.google.com/file/d/19xmuQO1cprKqqbIVKcd7_-hILxF9yfx6/view?usp=sharing for notes fill the form : https://goo.gl/forms/C7EcSPmfOGleVOOA3 For full course:https://goo.gl/bYbuZ2 More videos coming soon so Subscribe karke rakho  :  https://goo.gl/85HQGm for full notes   please fill the form for notes :https://goo.gl/forms/MJD1mAOaTzyag64P2 For full hand made  notes of data warehouse and data mining  its only 200 rs payment options is PAYTM :7038604912 once we get payment notification we will mail you the notes on your email id contact us at :[email protected] For full course :https://goo.gl/Y1UcLd Topic wise: Introduction to Datawarehouse:https://goo.gl/7BnSFo Meta data in 5 mins :https://goo.gl/7aectS Datamart in datawarehouse :https://goo.gl/rzE7SJ Architecture of datawarehouse:https://goo.gl/DngTu7 how to draw star schema slowflake schema and fact constelation:https://goo.gl/94HsDT what is Olap operation :https://goo.gl/RYQEuN OLAP vs OLTP:https://goo.gl/hYL2kd decision tree with solved example:https://goo.gl/nNTFJ3 K mean clustering algorithm:https://goo.gl/9gGGu5 Introduction to data mining and architecture:https://goo.gl/8dUADv Naive bayes classifier:https://goo.gl/jVUNyc Apriori Algorithm:https://goo.gl/eY6Kbx Agglomerative clustering algorithmn:https://goo.gl/8ktMss KDD in data mining :https://goo.gl/K2vvuJ ETL process:https://goo.gl/bKnac9 FP TREE Algorithm:https://goo.gl/W24ZRF Decision tree:https://goo.gl/o3xHgo more videos coming soon so channel ko subscribe karke rakho
Views: 210403 Last moment tuitions
Review project HIBTC and Program FomoHiBT
HiBTC - Shared Digital Asset Trading Platform First of all, using the new design concept and leading technology, HiBTC will provide a safe, efficient and convenient digital asset trading platform for all participants. In HiBTC, regardless of the size of the transaction, each participant can effectively achieve the investment objectives without worrying about personal privacy protection or the security of digital assets. In addition, the professional financial unit will provide investors with rich risk hedging instruments and investment target choices. Second, HiBTC is committed to creating a completely transparent, fair and shared investment environment. HiBTC Token (HIBT) is the only token issued by the HiBTC platform, not only as a digital asset, but also representing all rights and interests of the HiBTC platform. HiBTC promises to regularly allocate the platform revenues to all HIBT holders; at the same time, the “transaction + token holding” mining model (“proof of mining hours + proof of equity” mechanism) is adopted, and 50% of the HIBT issued is rewarded to users through transaction processing fee mining. Not only that, HiBTC will also introduce a “Dividend Bonus Program”. Users can voluntarily join the program with part or all of the HIBT it holds, which will enjoy different proportions of dividend bonus in addition to the basic dividends. In summary, when a user makes any transaction on the platform, in addition to obtaining the target assets, it can also obtain [mining generated HIBT + basic dividends + dividend bonus]. All of the above mining and dividend data will be made public in real time and are truly transparent and accessible. Except the equity attribute, the asset attribute of HIBT is also important. The stability of HIBT price has a direct effect on the users’ enthusiasm for participating in the transactions on the HiBTC platform. In order to guarantee a sustainable and robust development of HiBTC, we will make the “Holder Shared Fund Account” public to all users right after the platform is put into use. The HIBTs unlocked in the account will be 100% locked in the fund account until the mining is finished and won’t flow into the secondary market. The dividends these HIBTs enjoys will be first used to pay for the dividend bonus generated in the Dividend Bonus Program; and the rest will be used to buy back the HIBTs in the secondary market, which will be locked in the fund account, too. When the mining is finished, all assets in the Holder Shared Fund Account, including HIBTs and dividends, will completely belong to all the HIBT holders, and the specific disposal plan will be made public in time after the mining is finished. Finally, HiBTC hopes to break the barriers to information asymmetry between shareholders and management, and between companies and users under the traditional “firm” model, and to build a co-governed and shared organizational structure so that each HIBT holder has the right to participate in making the platform business decisions. HiBTC introduces the world’s first exchange “1+1” currency listing dual-channel mode, which abandons the traditional fee-based currency listing mode and opens the HIBT holder recommendation channel. Exchange Link: https://www.hibtc.com Whitepaper: https://www.hibtc.com/om/about/en-us/whitepaper.pdf Twitter: https://twitter.com/HiBTC_Exchange Telegram: https://t.me/www_HiBTC_com1 Writer details; [email protected] BTT username: Tsyhan BTT profile link: https://bitcointalk.org/index.php?action=profile;u=970968
Views: 38 AltCoin VietNam
Connecting Data in the Value Chain
Data connects people, processes and information across the customer lifecycle; this connection leads to a better experience for all those involved in the channel. Get exclusive resources to fuel your customer engagement at SuccessHub: http://cs.co/90088HzDC
Views: 810 Cisco
Health Literacy in Healthcare Management
Health Sciences 4500 Presentation for Professor Hutson's class.
Views: 23 Emily Smallwood
Types of Data: Nominal, Ordinal, Interval/Ratio - Statistics Help
The kind of graph and analysis we can do with specific data is related to the type of data it is. In this video we explain the different levels of data, with examples. Subtitles in English and Spanish.
Views: 766081 Dr Nic's Maths and Stats
Scales of Measurement - Nominal, Ordinal, Interval, Ratio (Part 1) - Introductory Statistics
This video reviews the scales of measurement covered in introductory statistics: nominal, ordinal, interval, and ratio (Part 1 of 2). Scales of Measurement Nominal, Ordinal, Interval, Ratio YouTube Channel: https://www.youtube.com/user/statisticsinstructor Subscribe today! Lifetime access to SPSS videos: http://tinyurl.com/m2532td Video Transcript: In this video we'll take a look at what are known as the scales of measurement. OK first of all measurement can be defined as the process of applying numbers to objects according to a set of rules. So when we measure something we apply numbers or we give numbers to something and this something is just generically an object or objects so we're assigning numbers to some thing or things and when we do that we follow some sort of rules. Now in terms of introductory statistics textbooks there are four scales of measurement nominal, ordinal, interval, and ratio. We'll take a look at each of these in turn and take a look at some examples as well, as the examples really help to differentiate between these four scales. First we'll take a look at nominal. Now in a nominal scale of measurement we assign numbers to objects where the different numbers indicate different objects. The numbers have no real meaning other than differentiating between objects. So as an example a very common variable in statistical analyses is gender where in this example all males get a 1 and all females get a 2. Now the reason why this is nominal is because we could have just as easily assigned females a 1 and males a 2 or we could have assigned females 500 and males 650. It doesn't matter what number we come up with as long as all males get the same number, 1 in this example, and all females get the same number, 2. It doesn't mean that because females have a higher number that they're better than males or males are worse than females or vice versa or anything like that. All it does is it differentiates between our two groups. And that's a classic nominal example. Another one is baseball uniform numbers. Now the number that a player has on their uniform in baseball it provides no insight into the player's position or anything like that it just simply differentiates between players. So if someone has the number 23 on their back and someone has the number 25 it doesn't mean that the person who has 25 is better, has a higher average, hits more home runs, or anything like that it just means they're not the same playeras number 23. So in this example its nominal once again because the number just simply differentiates between objects. Now just as a side note in all sports it's not the same like in football for example different sequences of numbers typically go towards different positions. Like linebackers will have numbers that are different than quarterbacks and so forth but that's not the case in baseball. So in baseball whatever the number is it provides typically no insight into what position he plays. OK next we have ordinal and for ordinal we assign numbers to objects just like nominal but here the numbers also have meaningful order. So for example the place someone finishes in a race first, second, third, and so on. If we know the place that they finished we know how they did relative to others. So for example the first place person did better than second, second did better than third, and so on of course right that's obvious but that number that they're assigned one, two, or three indicates how they finished in a race so it indicates order and same thing with the place finished in an election first, second, third, fourth we know exactly how they did in relation to the others the person who finished in third place did better than someone who finished in fifth let's say if there are that many people, first did better than third and so on. So the number for ordinal once again indicates placement or order so we can rank people with ordinal data. OK next we have interval. In interval numbers have order just like ordinal so you can see here how these scales of measurement build on one another but in addition to ordinal, interval also has equal intervals between adjacent categories and I'll show you what I mean here with an example. So if we take temperature in degrees Fahrenheit the difference between 78 degrees and 79 degrees or that one degree difference is the same as the difference between 45 degrees and 46 degrees. One degree difference once again. So anywhere along that scale up and down the Fahrenheit scale that one degree difference means the same thing all up and down that scale. OK so if we take eight degrees versus nine degrees the difference there is one degree once again. That's a classic interval scale right there with those differences are meaningful and we'll contrast this with ordinal in just a few moments but finally before we do let's take a look at ratio.
Views: 274801 Quantitative Specialists
SF Data Mining MeetUp hosted by Marin Software
Listen to AMPLab’s (Algorithms Machines People) Daniel Crankshaw talk about Velox! What’s Velox? Velox is a new component of the Berkeley Data Analytics Stack that addresses the critical missing component of current analytics process: the deployment and serving of models at scale. Filmed March 11, 2015 at Marin Software SF, CA. Thanks to everyone who came out to this event! Here's a link to Dan Crankshaw's slides: http://www.slideshare.net/dscrankshaw/velox-at-sf-data-mining-meetup Here are a few of the papers Dan mentions in the presentation: "A Contextual-Bandit Approach to Personalized News Article Recommendation," Lihong Li et al (http://www.research.rutgers.edu/~lihong/pub/Li10Contextual.pdf) "LASER: a scalable response prediction platform for online advertising" Deepak Agrawal et al. from LinkedIn (http://dl.acm.org/citation.cfm?id=2556252) And the two on fast top-k: "Fast top-k similarity queries via matrix compression" Yucheng Low et al. (http://research.microsoft.com/pubs/171030/topk.pdf) "Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)" Shrivastava et al. (http://papers.nips.cc/paper/5329-asymmetric-lsh-alsh-for-sublinear-time-maximum-inner-product-search-mips.pdf)
Views: 863 marinsoftware
Statistics intro: Mean, median, and mode | Data and statistics | 6th grade | Khan Academy
This is a fantastic intro to the basics of statistics. Our focus here is to help you understand the core concepts of arithmetic mean, median, and mode. Practice this lesson yourself on KhanAcademy.org right now: https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/mean-and-median/e/calculating-the-mean?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Watch the next lesson: https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/mean-and-median/v/mean-median-and-mode?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Missed the previous lesson? https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/histograms/v/interpreting-histograms?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Grade 6th on Khan Academy: By the 6th grade, you're becoming a sophisticated mathemagician. You'll be able to add, subtract, multiply, and divide any non-negative numbers (including decimals and fractions) that any grumpy ogre throws at you. Mind-blowing ideas like exponents (you saw these briefly in the 5th grade), ratios, percents, negative numbers, and variable expressions will start being in your comfort zone. Most importantly, the algebraic side of mathematics is a whole new kind of fun! And if that is not enough, we are going to continue with our understanding of ideas like the coordinate plane (from 5th grade) and area while beginning to derive meaning from data! (Content was selected for this grade level based on a typical curriculum in the United States.) About Khan Academy: Khan Academy is a nonprofit with a mission to provide a free, world-class education for anyone, anywhere. We believe learners of all ages should have unlimited access to free educational content they can master at their own pace. We use intelligent software, deep data analytics and intuitive user interfaces to help students and teachers around the world. Our resources cover preschool through early college education, including math, biology, chemistry, physics, economics, finance, history, grammar and more. We offer free personalized SAT test prep in partnership with the test developer, the College Board. Khan Academy has been translated into dozens of languages, and 100 million people use our platform worldwide every year. For more information, visit www.khanacademy.org, join us on Facebook or follow us on Twitter at @khanacademy. And remember, you can learn anything. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to Khan Academy‰Ûªs 6th grade channel: https://www.youtube.com/channel/UCnif494Ay2S-PuYlDVrOwYQ?sub_confirmation=1 Subscribe to Khan Academy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 1834540 Khan Academy
Storytelling in Business: Data Storytelling
This short animated video is an exclusive add-on to SAS Best Practices' "Storytelling in Business" interactive e-book by Bree Baich and Analise Polsky. In this video, Bree guides you through the art of using your data to create compelling stories! DOWNLOAD E-BOOK: STORYTELLING IN BUSINESS - THE PLOT, THE PLAYERS AND THE PATH TO DYNAMIC CUSTOMER ENGAGEMENT This book contains interactive features that work best when viewed using Adobe Acrobat and Flash. Please download the e-book to get the full experience. https://www.sas.com/content/dam/SAS/en_us/doc/whitepaper1/storytelling-in-business-109014.pdf SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 13731 SAS Software
Introduction to Data Science with R - Data Analysis Part 1
Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 834423 David Langer
Datawatch Monarch Personal Tutorial | 1 Introduction
Monarch Personal is a free desktop application that provides users with rapid data prep capabilities. This includes a subset of Monarch Complete’s features: - Drag and drop parsing and extraction - Data combination - Real-time data preparation - Export to CSV, Access, Qlik, Tableau, Datawatch Designer, and Excel This series of tutorial videos will walk you through the basics of Monarch and show you how to transform your own report or raw data into reliable, consistent information, ready for analytics. This video uses Monarch Personal v 13.0.1.
Views: 3162 Datawatch
PPDM movie
Job Roles For DATA ENTRY OPERATOR – Entry Level,DataBase,Arts,Science,WPM, Data Management
Job Roles For DATA ENTRY OPERATOR : Know more about job roles and responsibility in DATA ENTRY . Coming to DATA ENTRY OPERATOR opportunities for freshers in India,Visit http://www.freshersworld.com?src=Youtube for detailed information,Job Opportunities,Education details and Career growth of DATA ENTRY OPERATOR. No matter what your educational background is, data entry operator jobs are available for all fresh candidates. People usually do not seek this position thinking that this is a low-level job. As a matter of fact, it is not lower than any other entry level position in corporate world. The main job of a data entry operator is to update, add and maintain data in a system or managing databases. The data entry operator is expected to insert or add data related to the company (both text and numerical) from a source file provided by the company. The candidate should also verify and sort the information as per given instruction. Other operational work includes generating routine reports and filing documents related to their work. Mostly, freshers with bachelor degree in arts and science are sought for this position. Even diploma candidates are opted for this position by many companies. Usually, candidates with professional degree, master degree or doctorate would not be sought for this position. The basic requirements are a) Knowledge and savvy in computer operation b) Expertise in MS-Office and other related software c) High typing speed – minimum market requirement is 40 WPM with 95% accuracy. d) Basic communication skills in English Usually, the candidates with good computer skill would be sought without regards to their educational background. Rotational shifts are rare and both male and female are sought. This job is also available in working-from-home option in some companies. There are short terms courses with certification for data entry offered by many institutions. Though it is not an essential certification, it would give a competitive edge over other candidates. Those who have working knowledge of Tally are sought for accountancy related data entry with a slightly higher pay. The same goes for those with commerce related educational background. With an increase in growth of BPO industry in India, there is a very high demand for data entry specialists. With one to three years experience in data entry, one can apply for jobs related to data management, document imaging, data mining, data processing and other related fields. If you want to grow in the same field, with three or more years of experience in data entry job, you can apply for senior data entry position or data analyzer positions. With more experience, you can apply for managerial positions like transaction processor, document processor and many others. Your scope is not restricted to back office operations. Candidates with a few years of experience in data entry can take up operational related jobs in KPO and customer service department. Yet, they would be considered as fresher in the new department. This job is for those who do not have a fancy degree and yet, want to take up corporate job. With this job, entry into corporate world becomes easy for all kinds of candidates. The academic excellence is not an important qualification for this job. Thus, candidates with backlog and those with moderate communication skill can apply for this position if, their typing skill is excellent. For more jobs & career information and daily job alerts, subscribe to our channel and support us. You can also install our Mobile app for govt jobs for getting regular notifications on your mobile. Freshersworld.com is the No.1 job portal for freshers jobs in India. Check Out website for more Jobs & Careers. http://www.freshersworld.com?src=Youtube - - ***Disclaimer: This is just a career guidance video for fresher candidates. The name, logo and properties mentioned in the video are proprietary property of the respective companies. The career and job information mentioned are an indicative generalised information. In no way Freshersworld.com, indulges into direct or indirect recruitment process of the respective companies.
How to add you business in Angellist by Services97
How to add you business in Angellist by Services97 About Us: We are "Services97" team of experts, engaged in various Internet Marketing and administrative projects. We have expertise in areas such as Social Media Marketing, Data Entry, virtual Assistance, Web Research, Data Processing Services, Accounting, Logo Design.We most recently started offering services in Graphics designing. Currently our team consists of 25 young , energetic and experienced members. We are available 7 days a week and 24 hours a day to give the quickest response to our valuable customers. We provide services until 100% client satisfaction is achieved. Here is complete details of our services ===Local SEO=== • SEO Backlinking • Citation Cleanup • Directory Submission • Google Map & Places • Setup Local Listings on Google + Local, Bing Local, Yahoo Local • Building citations and locally specific high quality links. Online data entry of: • Web research • Data entry • Data conversion • Data mining • Data processing • Email support • Customer support • Virtual Assistant • List building Offline data entry of: • Handwritten documents • Medial documents • Form filling • Records of company employees • Bills/receipts • Offline data mining and processing to manage it • Data conversion to/from PDF, Excel, Word, PSD TO HTML, .txt, etc. Virtual Assistant Services: • Online Research • eCommerce Store Management • Project Management • Social Media Management • Back Office Support • Basic Photoshop (Color correction, background removal etc.) Like Us On Facebook www.facebook.com/services97 Follow on Twitter https://twitter.com/services97 Purchase our Services on Fiverr http://fiverr.com/services97 Hire us on Upwork https://www.upwork.com/companies/~01943d88a2ff3009b5 Hire on Freelancer https://www.freelancer.com/u/services97.html
Views: 70 Services97
28c3 - Data Mining the Israeli Census
This video is part of the Infosec Video Collection at SecurityTube.net: http://www.securitytube.net 28c3 - Data Mining the Israeli Census http://events.ccc.de/congress/2011/Fahrplan/attachments/2010_28c3-dmic.pdf Data Mining the Israeli Census Insights into a publicly available registry The entire Israeli civil registry database has been leaked to the internet several times over the past decade. In this talk, we examine interesting data that can be mined and extracted from such database. Additionally, we will review the implications of such data being publicly available in light of the upcoming biometric database. The Israeli census database has been freely available on the Internet since 2001. The database has been illegally leaked due to incompetent data security policies in the Ministry of Interior of Israel, which is responsible for the management of the Israeli census. The data available includes all personal data of every Israeli citizen: name, ID number, date and location of birth, address, phone number and marital status, as well as linkage to parents and spouses. In this talk we discuss various statistics, trends and anomalies that such data provides us with insight to. Personal details will obviously be left out of the talk, though it is important to note that any person who wishes to retrieve such details can easily do so. We will end the talk with a discussion about upcoming and relevant privacy issues in light of Israel's soon-to-be biometric database.
Views: 90 SecurityTubeCons
The Connected Vehicle: How Analytics Drives Telematics Value
http://www.sas.com/automotive Learn how SAS' Internet of Things technology is turning mundane telematics trouble codes into real value in the automotive and trucking industries. When everything is connected, we need answers, we need the Analytics of Things. SAS AUTOMOTIVE SOLUTIONS Drive better decisions with the world’s best analytics. SAS has automotive solutions for: * Sales & Marketing * Product & Process Quality * Aftermarket Service * Credit & Finance * Supply & Demand Planning * And more... LEARN MORE ABOUT SAS SOLUTIONS FOR AUTOMOTIVE http://www.sas.com/en_us/industry/automotive.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 17945 SAS Software
Decision Tree Tutorial in 7 minutes with Decision Tree Analysis & Decision Tree Example (Basic)
Clicked here http://www.MBAbullshit.com/ and OMG wow! I'm SHOCKED how easy.. No wonder others goin crazy sharing this??? Share it with your other friends too! Fun MBAbullshit.com is filled with easy quick video tutorial reviews on topics for MBA, BBA, and business college students on lots of topics from Finance or Financial Management, Quantitative Analysis, Managerial Economics, Strategic Management, Accounting, and many others. Cut through the bullshit to understand MBA!(Coming soon!) http://www.youtube.com/watch?v=a5yWr1hr6QY
Views: 506869 MBAbullshitDotCom
Learning Defect Predictors from Static Code Attributes: Lessons from the Tren...
Google Tech Talks October 29, 2008 ABSTRACT For six years, I have worked on learning quality predictors from NASA data. Based on that experimence, this talk offers the following lessons from the trenches: 1) Real world data collection is more like ambulance chasing that bus driving. The old DoD model of rigorous process control just breaks down in the modern era of distributed software development. Rather than lament lack of formal process, we should adapt our learning methods to handle the idiosyncrasies of our data. 2) Accuracy, correlation and precision and not accurate or precise and may not correlate with any decision making process. This is especially true for data sets where only a small percentage of the data contains the target concept. 3) Static code attributes are a wide and shallow well- easy to get to the bottom, very hard to get much further. Our learners may have learned all they can learn from these attributes. 4) The only way up is sideways. My data miners have struck a performance ceiling and the only way up is to change the performance target. 5) The performance ceiling is very close- we can exploit that. Rather than large-scale automatic methods, it may be more productive to explore human-in-the-loop interactive learning strategies. 6) We can talk, but will they listen? Many times, I have found a clear signal in a software engineering data set. Clearly, our learners are good enough to assist managers in the difficult task of managing software projects. Sadly, all too often, some management edict is applied that effectively ends that project (e.g. collection of that data source is terminated). I offer some speculations on this peculiar effect. References: * "Implications of Ceiling Effects in Defect Predictors" by T. Menzies and B. Turhan and A. Bener and G. Gay and B. Cukic and Y. Jiang. Proceedings of PROMISE 2008 Workshop (ICSE) 2008 . Available from http://menzies.us/pdf/08ceiling.pdf . * "Learning Better IVV Practices" by T. Menzies and M. Benson and K. Costello and C. Moats and M. Northey and J. Richarson. Innovations in Systems and Software Engineering March 2008 . Available from http://menzies.us/pdf/07ivv.pdf . * Data Mining Static Code Attributes to Learn Defect Predictors" by Tim Menzies and Jeremy Greenwald and Art Frank. IEEE Transactions on Software Engineering January 2007 . Available from http://menzies.us/pdf/06learnPredict.pdf . * "Problems with Precision" by Tim Menzies and Alex Dekhtyar and Justin Distefano and Jeremy Greenwald. IEEE Transactions on Software Engineering September 2007 . http://menzies.us/pdf/07precision.pdf . * "Finding the Right Data for Software Cost Modeling" by Zhihao Chen and Tim Menzies and Dan Port and Barry Boehm. IEEE Software Nov 2005 . http://menzies.us/pdf/05chen.pdf Speaker: Tim Menzies Dr. Tim Menzies ([email protected]) has been working on advanced modeling and AI since 1986. He received his PhD from the University of New South Wales, Sydney, Australia and is the author of over 170 refereeed papers. A former research chair for NASA, Dr. Menzies is now a associate professor at the West Virginia University's Lane Department of Computer Science and Electrical Engineering.
Views: 4990 GoogleTechTalks
SmartAdP: Visual Analytics of Large-scale Taxi Trajectories for Selecting Billboard Locations
The author's personal website: http://dongyu.name More information please refer to the paper: http://dongyu.name/papers/tvcg_2016_dongyu_smartadp.pdf Online System: http://smartadp.chinacloudapp.cn/ Abstract: The problem of formulating solutions immediately and comparing them rapidly for billboard placements has plagued advertising planners for a long time, owing to the lack of efficient tools for in-depth analyses to make informed decisions. In this study, we attempt to employ visual analytics that combines the state-of-the-art mining and visualization techniques to tackle this problem using large-scale GPS trajectory data. In particular, we present SmartAdP, an interactive visual analytics system that deals with the two major challenges including finding good solutions in a huge solution space and comparing the solutions in a visual and intuitive manner. An interactive framework that integrates a novel visualization-driven data mining model enables advertising planners to effectively and efficiently formulate good candidate solutions. In addition, we propose a set of coupled visualizations: a solution view with metaphor-based glyphs to visualize the correlation between different solutions; a location view to display billboard locations in a compact manner; and a ranking view to present multi-typed rankings of the solutions. This system has been demonstrated using case studies with a real-world dataset and domain-expert interviews. Our approach can be adapted for other location selection problems such as selecting locations of retail stores or restaurants using trajectory data.
Views: 25 Dongyu Liu
Systems Conversations, 10/6/2017 - Jyotishman Pathak
Dr. Pathak is the Frances & John L. Loeb Professor of Medical Informatics, Professor of Healthcare Policy & Research, and the Chief of Division of Health Informatics at Weill Cornell Medicine, Cornell University in New York City. Prior to joining Weill Cornell in 2015, he was the Professor of Biomedical Informatics at Mayo Clinic in Rochester, Minnesota (2007-2015) where he led two large NIH/HHS initiatives—the Electronic Medical Records and Genomics (eMERGE) and Strategic Health IT Research Project (SHARP) – on high-throughput phenotyping from electronic health records (EHRs). His current research focuses on secondary uses of EHR data for clinical and healthcare delivery research, clinical decision support systems for personalized therapeutics, and integration of genomic data within EHRs. Dr. Pathak received his Ph.D. in Computer Science from Iowa State University (2007) and a B. Engg. in Computer Science and Engineering from National Institute of Technology, Jamshedpur, India (2002). He is the recipient of Iowa State University Graduate Research Excellence Award and Mayo Clinic Early Career Development Award in 2007 and 2010, respectively. Dr. Pathak’s research has been funded by multiple major national grants from the U.S. National Institutes of Health (NIH), the Patient-Centered Outcomes Research Institute (PCORI), the Agency of Healthcare Research and Quality (AHRQ), the American Heart Association (AHA) and several private foundations. He has published over 180 papers including many book chapters and invited reviews. See hie Cornell Systems Engineering's 'Ezra's Roundtable' talk here: https://cornell.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=eaa0cdc1-a1f0-48f6-b794-24f0c8ccf5ee
SPSS Questionnaire/Survey Data Entry - Part 1
How to enter and analyze questionnaire (survey) data in SPSS is illustrated in this video. Lots more Questionnaire/Survey & SPSS Videos here: https://www.udemy.com/survey-data/?couponCode=SurveyLikertVideosYT Check out our next text, 'SPSS Cheat Sheet,' here: http://goo.gl/b8sRHa. Prime and ‘Unlimited’ members, get our text for free. (Only 4.99 otherwise, but likely to increase soon.) Survey data Survey data entry Questionnaire data entry Channel Description: https://www.youtube.com/user/statisticsinstructor For step by step help with statistics, with a focus on SPSS. Both descriptive and inferential statistics covered. For descriptive statistics, topics covered include: mean, median, and mode in spss, standard deviation and variance in spss, bar charts in spss, histograms in spss, bivariate scatterplots in spss, stem and leaf plots in spss, frequency distribution tables in spss, creating labels in spss, sorting variables in spss, inserting variables in spss, inserting rows in spss, and modifying default options in spss. For inferential statistics, topics covered include: t tests in spss, anova in spss, correlation in spss, regression in spss, chi square in spss, and MANOVA in spss. New videos regularly posted. Subscribe today! YouTube Channel: https://www.youtube.com/user/statisticsinstructor Video Transcript: In this video we'll take a look at how to enter questionnaire or survey data into SPSS and this is something that a lot of people have questions with so it's important to make sure when you're working with SPSS in particular when you're entering data from a survey that you know how to do. Let's go ahead and take a few moments to look at that. And here you see on the right-hand side of your screen I have a questionnaire, a very short sample questionnaire that I want to enter into SPSS so we're going to create a data file and in this questionnaire here I've made a few modifications. I've underlined some variable names here and I'll talk about that more in a minute and I also put numbers in parentheses to the right of these different names and I'll also explain that as well. Now normally when someone sees this survey we wouldn't have gender underlined for example nor would we have these numbers to the right of male and female. So that's just for us, to help better understand how to enter these data. So let's go ahead and get started here. In SPSS the first thing we need to do is every time we have a possible answer such as male or female we need to create a variable in SPSS that will hold those different answers. So our first variable needs to be gender and that's why that's underlined there just to assist us as we're doing this. So we want to make sure we're in the Variable View tab and then in the first row here under Name we want to type gender and then press ENTER and that creates the variable gender. Now notice here I have two options: male and female. So when people respond or circle or check here that they're male, I need to enter into SPSS some number to indicate that. So we always want to enter numbers whenever possible into SPSS because SPSS for the vast majority of analyses performs statistical analyses on numbers not on words. So I wouldn't want and enter male, female, and so forth. I want to enter one's, two's and so on. So notice here I just arbitrarily decided males get a 1 and females get a 2. It could have been the other way around but since male was the first name listed I went and gave that 1 and then for females I gave a 2. So what we want to do in our data file here is go head and go to Values, this column, click on the None cell, notice these three dots appear they're called an ellipsis, click on that and then our first value notice here 1 is male so Value of 1 and then type Label Male and then click Add. And then our second value of 2 is for females so go ahead and enter 2 for Value and then Female, click Add and then we're done with that you want to see both of them down here and that looks good so click OK. Now those labels are in here and I'll show you how that works when we enter some numbers in a minute. OK next we have ethnicity so I'm going to call this variable ethnicity. So go ahead and type that in press ENTER and then we're going to the same thing we're going to create value labels here so 1 is African-American, 2 is Asian-American, and so on. And I'll just do that very quickly so going to Values column, click on the ellipsis. For 1 we have African American, for 2 Asian American, 3 is Caucasian, and just so you can see that here 3 is Caucasian, 4 is Hispanic, and other is 5, so let's go ahead and finish that. Four is Hispanic, 5 is other, so let's go to do that 5 is other. OK and that's it for that variable. Now we do have it says please state I'll talk about that next that's important when they can enter text we have to handle that differently.
Views: 434773 Quantitative Specialists
How to Create a Stock Management Database in Microsoft Access - Full Tutorial with Free Download
This tutorial will explain how to use Microsoft Access to create a working stock control database with some basic features. Follow along with our free download of the basic stock database we created in this video: http://www.software-matters.co.uk/free-access-stock-control-database.asp All you need to get started is a copy of Access and a beginner's knowledge of how it works. Get more help and advice on Excel, Access or VBA projects: http://www.software-matters.co.uk/youtube_links.html If you want to find out whether a bespoke database would be right for you, get in contact: http://www.software-matters.co.uk/contact.asp Learn more about our work: http://www.software-matters.co.uk/projects-blog.html Music by Kevin MacLeod http://incompetech.com/music/royalty-free/ We have now uploaded a no music version of this video: https://www.youtube.com/watch?v=049IlFNcrl0 --------------------------------------------- If you found this video helpful, please consider giving it a Like, leaving a comment or sharing it. More from the Software-Matters channel: https://www.youtube.com/channel/UCk-MVP61VQHMdfETVNQEFww Visit the Software-Matters website: http://www.software-matters.co.uk Software-Matters is based in Gillingham, Dorset, in the south-west of the United Kingdom (UK), near Somerset, Wiltshire and Hampshire and the cities of Bournemouth, Poole, Southampton, Bristol, Bath and Salisbury. ---------------------------------------------- MORE INFORMATION: To follow this tutorial you will need a full copy of Microsoft Access. The video was made using Access 2010, however the process is very similar in Access 2007 and Access 2013. We'll be going as far as setting up the database tables, which traditionally would be stored in a so-called 'back end' database file, while forms, queries and report, which are not covered in any details by this tutorial, would be stored in a separate 'front end' database file. The tables from the back end are then 'linked' to the front end, so that it behaved as if all the objects were in one file. In some places we have made the design deliberately simple in order to keep our relationships clean and the number of tables low. This helps those new to Access to get their heads around how to create the database, but for actual use, might cause problems. We recommend that you learn more about database design from other sources before beginning your project if you intend to use it for a real business. Key topics to consider are: database normalisation theory; Inner, Left, Right and Outer Joins; Basic SQL (structured query language) use; Software Development Methodologies; UX (user experience) enhancement techniques; and of course, the very specific needs of your business, project or client. All together, a broad knowledge of these topics will allow you to design your tables with enough foresight to make the setting up of the queries, forms and reports you'll need later as easy as possible. Plus it should make the system easy to use and less likely to be corrupted or crash. Keep in mind that even if your stock database needs don't fit very well with our example parts database, or if you need an entirely different kind of system like an accounts database or CRM database, the lessons in this tutorial can still apply.
Views: 433060 Software-Matters
RESUME BUILDING FOR FRESHERS - PART 1 | Sample Resume Format | Resume Writing Tips
FULL NAME Mobile: 0123456789 E-Mail: [email protected] (your name) OBJECTIVES (write your objectives in 3 sentences only) Very precise, short and should convey the message to the person reading it. For example : “To seek a position in a well established Organisation that offers room for professional growth, as this provides me ample opportunities to exhibit my skills and competencies in the chosen field”. ACADEMICS COURSES INSTITUTIONS BOARD YEAR OF PASSING % MBA (Marketing) XYZ School of Mgt. Bangalore University 2015 B.Com Name of College Name of university 2013 PUC (12th std) Name of College Name of university 2010 SSLC (10th std) Name of School Name of university 2008 PROJECTS (write a brief outline about your project, it should be structured & should highlight those points which would be beneficial for the current position’s interview) For example: Name of Co. : Western India Plywood’s ltd. Project Title : HR internship Project Outline : WIP is a public company which was started in the year 1945 and deals in the manufacturing and sales of both of plywood’s and hardwoods. The internship at Western India Plywood’s Ltd was for the duration of 3 month. During the tenure, I have hands on work in the areas mentioned below. • Functions of various departments in a company. • Assisted in the HR functionalities like Payroll database, Data Mining etc... • Was a part of the Exposure to launch an advertising campaign to attract more customers. PROFESSIONAL CERTIFICATIONS (Whatever certifications you have completed with relevant certificates &Specialisation). • Completed Advance Excel course from…..( Name of Institution / Centre ) • Completed Finance certification course …..( Name of Institution / Centre ) • SAP – (Domain specific: FICO, HCM, MM etc….) • Certified Six Sigma – Orange Belt, passed with distinction ACCOLADES ( Any awards and recognitions received ) • Presented Papers in the College / Inter College Journals • Represented College in Management Programs & Seminars • Nominated as the Best Student for….(any awards you can mention) COMPUTER PROFICIENCY (only if you have done some course or diploma) • Sound Knowledge in ERP, SAP Platforms • JAVA , C++ courses PERSONAL SKILLS (Write strengths based on your Major / minor specialisation, you can also relate your skills to the projects or events who might be part of & highlight them during an interview ) • Effective Client Relations • Quick Learner • Self Confidence & Positive Attitude • Ability to perform & contribute under pressure • Flexible & Adaptable to changes & challenges • Highly Self Motivated • Ability to work with Team EXTRA CURRICULAR ACTIVITES • Involved in raising Funds for NGOs • Participated in various Cultural Committee Development activities • Involved in CSR assignments for the college • Participated in Dance & Sports events conducted in Colleges • Participated in Management Fest & Inter College a Fests PERSONAL DOSSIER • Date of Birth : (Your Date of Birth) • Gender : Male/Female • Linguistic Proficiency : Read: - English, Hindi, (language u know to read only) Write: - English, Hindi (languages u know to write only) • LinkedIn Profile : ( Paste the Url link ) • Twitter Profile : ( Paste the Url link ) Declaration: I hereby declare that the information furnished above is true and to the best of my knowledge & belief. Place: Date: (FULL NAME) Disclaimer: The content written and spoken in this video are the soul property of Cassius Technologies Pvt Ltd. In case of any resemblance to any sites or any videos are mere coincidence.
PDATA -Secure trading of personal data #ICO
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Pat Dorsey: "The Little Book that Builds Wealth" | Talks at Google
What does it mean for a company to have a moat? What are the key drivers to valuation? Pat Dorsey will use examples to shed light on these, and more questions. About the Book: Capitalism works. That’s why most businesses with high returns on capital attract competition that forces down profitability over time. However, a small minority of companies are able to defy the laws of economic gravity by creating competitive advantages, or “economic moats” that insulate them from competition and allow them to maintain high returns on capital. After spending fifteen years analyzing thousands of companies, Pat has identified a handful of structural characteristics that create competitive advantage. He will discuss these characteristics, how management teams can create and destroy competitive advantage, and how he applies competitive analysis in managing institutional capital at Dorsey Asset Management. About the author: Pat is the founder of Dorsey Asset Management, which manages concentrated global portfolios for institutional investors. Prior to starting Dorsey Asset, Pat was Director of Research for Sanibel Captiva Trust, an independent trust company with approximately $1 billion in assets under management serving high net worth clients. From 2000 to 2011, Pat was Director of Equity Research for Morningstar, where he led the growth of Morningstar’s equity research group from 10 to over 100 analysts. Pat developed Morningstar’s economic moat ratings, as well as the methodology behind Morningstar's framework for analyzing competitive advantage. Pat is also the author of two books — The Five Rules for Successful Stock Investing and The Little Book that Builds Wealth — and has been quoted in publications such as the Wall Street Journal, Fortune, the New York Times, and BusinessWeek. Pat holds a Master’s degree in Political Science from Northwestern University and a bachelor’s degree in government from Wesleyan University. He is a CFA charterholder.
Views: 131092 Talks at Google
Impress Your Fresher Job Interviewer
How to attend Freshers Jobs interview Video
Views: 4220180 Neha Sharma
101 Great Answers To The Toughest Interview Questions ©
This is an excellent guide to attend interviews. 101 Great Answers To The Toughest Interview Questions contains a collection of all possible interview questions and how to answer and face them in a typical interview. A prospective job seeker can also get excellent tips to cracking hard interview questions in this video. Learn to crack your interview today! The interviewing process is a kind of sale. In this case, you are the product—and the salesperson. If you show up unprepared to talk about your unique features and benefits, you're not likely to motivate an interviewer to "buy." The sad fact is that many job candidates are unprepared to talk about themselves. You may have mailed a gorgeous resume and cover letter. You may be wearing the perfect clothes on the day of the interview. But if you can't convince the interviewer—face to face—that you are the right person for the job, you aren't likely to make the sale. Too many candidates hesitate after the first open-ended question, then stumble and stutter their way through a disjointed litany of resume "sound bites." Other interviewees recite canned replies that only highlight their memory skills. The days of filling out the standard application and chatting your way through one or two interviews are gone. These days, interviewers and hiring managers are reluctant to leave anything to chance. Many have begun to experiment with the latest techniques for data-gathering and analysis. For employers, interviewing has become a full-fledged science. More employers seem to be looking for a special kind of employee—someone with experience, confidence, and the initiative to learn what he or she needs to know. Someone who requires very little supervision. Someone with a hands-on attitude—from beginning to end. Because employers can't tell all that from a job application and a handshake, here's what they're making you do: Pass the test(s). You'll probably have to go through more interviews than your predecessors for the same job—no matter what your level of expertise. Knowledge and experience still give you an inside edge. But these days, you'll need stamina, too. Your honesty, your intelligence, your mental health—even the toxicity of your blood—may be measured before you can be considered fully assessed. Brave more interviews. You may also have to tiptoe through a mine field of different types of interview situations—and keep your head—to survive as a new hire. Don't go out and subscribe to a human resources journal. Just do all you can to remain confident and flexible—and ready with your answers. No matter what kind of interview you find yourself in, this approach should carry you through with flying colors. Let's take a brief, no-consequences tour of the interview circuit. What (Who) are You Up Against? There are three predominant interviewing types or styles: the Telephone Screener, the Human Screen, and the Manager. Which is which, and why would someone be considered one or the other? While personal temperament is one factor, the adoption of one or the other style is primarily a function of the interviewer's role in the organization and his or her daily workload. The Human Screen Many human resource and personnel professionals fall into this category. For these people, interviewing is not simply just a once-a-quarter or once-a-month event, but rather a key part of their daily job description. They meet and interview many people, and are more likely than either of the other two categories to consider an exceptional applicant for more than one possible opening within the organization. A primary objective of the Human Screen is to develop a strong group of candidates for Managers (see category three) to interview in person. To do this, of course, they must fend off many applicants and callers—a daunting task, because the Human Screen or the department in which he or she works is often the only contact provided in employment advertisements. Among the most common reasons for removal from the Human Screen's "hot" list are: lack of formal or informal qualifications as outlined in the organization's job description; sudden changes in hiring priorities and personnel requirements; poor performance during the in-person interview itself; and inaction due to the Human Screen's uncertainty about your current status or contact information. That last reason is more common than you might imagine. Human Screens are constantly swamped with phone calls, resumes, and unannounced visits from hopeful applicants. Odds are that despite their best efforts, they sometimes lose track of qualified people. Subscribe to our Channel at http://www.youtube.com/theinterviewskills Follow us on our Official Facebook Fanpage at http://www.facebook.com/theinterviewskills Link to this video http://www.youtube.com/watch?v=vPfN2BnnpUc
How to speak so that people want to listen | Julian Treasure
Have you ever felt like you're talking, but nobody is listening? Here's Julian Treasure to help you fix that. As the sound expert demonstrates some useful vocal exercises and shares tips on how to speak with empathy, he offers his vision for a sonorous world of listening and understanding. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
Views: 18464752 TED
[#1]Assignment Problem|Hungarian Method|Operations Research[Solved Problem using Algorithm]
NOTE: After row and column scanning, If you stuck with more than one zero in the matrix, please do the row scanning and column scanning (REPEATEDLY) as much as possible to cover that zeros with lines, based on algorithm If you still find some zeros without covered by lines, then we need to go for [DIAGONAL selection RULE ]for that I have uploaded a separate video to understand that method easily., please watch this link [ [#2]Assignment Problem||Hungarian Method[DIAGONAL RULE] When we Find More than one Zero ] https://youtu.be/-0DEQmp7B9o ▓▓▓▓░░░░───CONTRIBUTION ───░░░▓▓▓▓ If you like this video and wish to support this kauserwise channel, please contribute via, * Paytm a/c : 7401428918 * Paypal a/c : www.paypal.me/kauserwisetutorial [Every contribution is helpful] Thanks & All the Best!!! ─────────────────────────── Here is the video about assignment problem - Hungarian method on Operations research, In this video we discussed what is assignment problem and how to solve using Hungarian method with step by step procedure of algorithm, hope this will help you to get the subject knowledge at the end. Thanks and All the best. To watch more tutorials pls use this: www.youtube.com/c/kauserwise * Financial Accounts * Corporate accounts * Cost and Management accounts * Operations Research
Views: 1077178 Kauser Wise
19 Industries The Blockchain Will Disrupt
The blockchain is a distributed ledger technology that underlies cryptocurrencies like Bitcoin and platforms like Ethereum. It provides a way to record and transfer data that is transparent, safe, auditable, and resistant to outages. The blockchain has the ability to make the organizations that use it transparent, democratic, decentralized, efficient, and secure. It's a technology that holds a lot of promise for the future, and it is already disrupting many industries. Original post: http://futurethinkers.org/industries-blockchain-disrupt More podcasts & videos about the blockchain: http://futurethinkers.org/blockchain Support us on Patreon: https://www.patreon.com/futurethinkers Check out our merch store: https://www.redbubble.com/people/futurethinkers Blockchain startups and projects featured in this video: Bitcoin - https://bitcoin.org/ Abra - https://www.goabra.com/ Provenance - https://www.provenance.org/ Fluent (Rebranded to Hijro) - https://hijro.com/ SKUChain - https://skuchain.com/ Blockverify - http://www.blockverify.io/ Augur - https://augur.net/ Networking and IoT Adept - http://www.coindesk.com/ibm-reveals-proof-concept-blockchain-powered-internet-things/ Aeternity - https://www.aeternity.com/ Arcade City - https://arcade.city/ La'Zooz - http://www.shareable.net/blog/lazooz-the-decentralized-crypto-alternative-to-uber Innogy - https://bitcoinmagazine.com/articles/innogy-charges-new-electric-car-fleet-using-ethereum-blockchain/ UBS - https://www.ubs.com/microsites/blockchain-report/en/home.html ZF - http://www.econotimes.com/UBS-bank-innogy-and-ZF-partner-to-provide-blockchain-backed-wallets-for-cars-471860 Online Data Storage Storj - https://storj.io/ IPFS - https://ipfs.io/ BitGive Foundation - https://bitgivefoundation.org/ Democracy Earth - http://democracy.earth/ Follow My Vote - https://followmyvote.com/ GovCoin - http://www.businesswire.com/news/home/20160707005803/en/GovCoin-Systems-Implements-Social-Welfare-Payments-Distribution Dubai Blockchain Strategy - http://www.smartdubai.ae/dubai_blockchain.php Circles - aboutcircles.com Gem - https://gem.co/ Tierion - https://tierion.com/ TransactiveGrid - http://transactivegrid.net/ Mycelia - http://myceliaformusic.org/ Ujo Music - https://ujomusic.com/ OpenBazaar - https://www.openbazaar.org/ OB1 - https://ob1.io/ Ubitquity - https://www.ubitquity.io/ Consensys - https://consensys.net/about/ Ethereum - https://www.ethereum.org/ Future Thinkers is a podcast about evolving technology, society and consiousness. If you want to learn more about the blockchain technology, you can listen to some of our episodes going in depth. http://futurethinkers.org/blockchain/ Support us on Patreon: https://www.patreon.com/futurethinkers Donate through Paypal or cryptocurrency: http://futurethinkers.org/support Check out our merch store: https://www.redbubble.com/people/futurethinkers
Views: 1350479 Future Thinkers
Mining the FDA Adverse Event Reporting System with Oracle Empirica Signal
Learn how to identify safety and pharmacovigilance signals by data mining FAERS with Oracle's Empirica Signal. -- Ever since the European Union (EU) introduced new legislation that requires life sciences companies to proactively detect, prioritize, and evaluate safety signals, there has been an increased interest, not only from sponsors and CROs in the EU, but globally, in pharmacovigilance systems that can assist with the signal management process. Please join Perficient's Chris Wocosky, an expert in signal detection and management, for this video in which she discussed how your organization can use Empirica Signal, Oracle's state-of-the-art signal detection system to data mine the existing FDA Adverse Event Reporting System (FAERS) to determine safety signals. This video will help you to better understand how this solution can be used in daily pharmacovigilance activities. To view this webinar in its entirety, please visit: https://cc.readytalk.com/r/7ekwxbm7q33t&eom Stay on top of Life Sciences technologies by following us here: Twitter: http://www.twitter.com/Perficient_LS Facebook: http://www.facebook.com/Perficient LinkedIn: http://www.linkedin.com/company/165444 Google+: https://plus.google.com/+Perficient SlideShare: http://www.slideshare.net/PerficientInc
Views: 4443 Perficient, Inc.
08 common Job Interview Questions and Answers in Hindi || Job interview best tips in hindi -
08 common Job Interview Questions and Answers in Hindi || Job interview best tips in Hindi - By ashok etutor - Watch our English Version Video on This Link: https://www.youtube.com/watch?v=WZAxXZ3q6Z4 Job Interview Tips | 08 Important Job Interview Tips in Hindi: https://www.youtube.com/watch?v=Be1q-mTO6q0 08 Important Jobs tips for freshers : https://www.youtube.com/watch?v=JzKpu32GUes Top 7 Job Interview Tips in Hindi | जॉब इंटरव्यू कैसे दें || Interview की तैयारी कैसे करें: https://www.youtube.com/watch?v=OmYCnN5iqXM
Views: 3645505 ASHOK ETUTOR
Lecture - 34 Data Mining and Knowledge Discovery
Lecture Series on Database Management System by Dr. S. Srinath,IIIT Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 132925 nptelhrd
What is SSIS , SSAS and SSRS ( part 1)  with sample demo?
For more such videos visit http://www.questpond.com See our other Step by Step video series below :- Learn angular tutorial for beginners https://tinyurl.com/ycd9j895 Learn MVC Core step by step :- http://tinyurl.com/y9jt3wkv Learn MVC 5 Step by Step in 16 hours:- https://goo.gl/dmdakg Learn MSBI Step by Step in 32 hours:- https://goo.gl/TTpFZN Learn Xamarin Mobile Programming Step by Step :- https://goo.gl/WDVFuy Learn Design Pattern Step by Step in 8 hours:- https://goo.gl/eJdn0m Learn C# Step by Step in 100 hours :- https://goo.gl/FNlqn3 Learn Data structures & algorithm in 8 hours :-https://tinyurl.com/ybx29c5s Learn SQL Server Step by Step in 16 hours:- http://tinyurl.com/ja4zmwu Learn Javascript in 2 hours :- http://tinyurl.com/zkljbdl Learn SharePoint Step by Step in 8 hours:- https://goo.gl/XQKHeP Learn TypeScript in 45 Minutes :- https://goo.gl/oRkawI Learn webpack in 50 minutes:- https://goo.gl/ab7VJi Learn Visual Studio code in 10 steps for beginners:- https://tinyurl.com/lwgv8r8 Learn Tableau step by step :- https://tinyurl.com/kh6ojyo =============================================== Learn MSBI in 4 days with Project ============================ Lab 1 :- MSBI Fundamentals, Data flow, Control Flow, ETL, Dataware house. (SSIS) :- https://youtu.be/mGPJx3ocFgg Lab 2:- Conditional split, Data conversion and Error handling. (SSIS) Lab 3:- For Loop, Variables, Parameters and Debugging. (SSIS) Lab 4:- Packaging and Deployment, File component and running SSIS package as a task.(SSIS) Lab 5: - For dimension, measures, star schema, snow flake, shared connection managers & packages tasks.(SSIS) Lab 6:- SCD, Type 0, Type 1, OLEDB Command and Unicode conversions.(SSIS) Lab 7:- Lookup, Data conversion optimization and updating SSIS package.(SSIS) Lab 8:- Sort, Merge and Merge Joins.(SSIS) Lab 9 :- Creating SSAS Cube. (SSAS) Lab 10:- SSAS Time series and Excel display.(SSAS) Lab11: - What are Transactions and CheckPoints in SSIS? (SSIS) Lab12: - Simple SSRS report & implementing Matrix, Tabular, Parameters, Sorting, Expressions. (SSRS) Lab 13:- Using Data Profiling task to check data quality. (SSIS) Lab 14:- Hierarchical Dimensions. (SSAS) Lab 15:- WebServices and XML Task. (SSIS) Lab16:- DrillDown and Subreports. (SSRS) Lab17 :- SSAS KPI (Key Performance Indicators). (SSAS) Lab 18:- Pivot, UnPivot and Aggregation. (SSIS) Lab 19 :- SSAS Calculation.(SSAS) Lab 20:- SQL Execute Task. (SSIS) Lab 21:- Reference and Many-to-Many Relationship. (SSAS) Lab 22 :- Script Task and Send Mail Task. (SSIS) Lab 23 :- Script component(SSIS) Lab 24 :- Bar chart, Gauge and Indicators.(SSRS) Lab 25:- Partitions in SSAS. (SSAS) Lab 26 :- CDC(Changed Data Capture) in SSIS. (SSIS) Lab 27:- Additive, Semiadditive and non-additive measures in SSAS.(SSAS) Lab 28:- Buffer Size Tuning (SSIS) Lab 29 :- How to implement Multithreading in SSIS?(SSIS) Lab 30:- Processing SSAS cube in background.(SSAS) Lab 31 :- Explain Asynchronous, Synchronous, Full, Semi and Non blocking Components. (SSIS) Lab 32 :- SSRS Architecture and Deployment (SSRS) Lab 33 :- DQS( Data Quality Services ) (SSIS) Lab 34 :- Explain Tabular Model and Power Pivot (SSAS). Lab 35 :- MDX (Multidimensional Expressions) Queries.(SSAS) Lab 36 :- Data Mining (Fundamentals and Time Series Algorithm).(SSAS) Lab 37 :- Page Split and Performance issues with SSIS.(SSIS) Lab 38 :- Aggregations in SSAS.(SSAS) Lab 39 :- ROLAP, MOLAP and HOLAP.(SSAS) Lab 40 :- Instrumentation using Data Taps (SSIS). Lab 41:- Lookup caching modes and Cache Transform. (SSAS) Lab 42: - Perspectives & Translations. (SSAS) Lab 43 :- Tabular Training 1 :- Installation, Xvelocity, Vertipaq, DAX,Creating cubes,measures, KPI, Partition and Translation? In this video we will try to understand what is SSIS , SSRS and SSAS, We also see a sample demo of ETL ( Extraction transformation and loading). This video series is for people who wants to Microsoft business intelligence. We are also distributing a 200 page Ebook "Learn MSBI (SSIS, SSRS, SSAS) Step by step". If you want this ebook please share this video in your facebook/twitter/linkedin account and email us on [email protected] with the shared link and we will email you the PDF. Buy Questpond videos on discount - http://www.itfunda.com/Interview
How great leaders inspire action | Simon Sinek
http://www.ted.com Simon Sinek presents a simple but powerful model for how leaders inspire action, starting with a golden circle and the question "Why?" His examples include Apple, Martin Luther King, and the Wright brothers -- and as a counterpoint Tivo, which (until a recent court victory that tripled its stock price) appeared to be struggling. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http://www.ted.com/translate. Follow us on Twitter http://www.twitter.com/tednews Checkout our Facebook page for TED exclusives https://www.facebook.com/TED
Views: 9038916 TED
The Making of Fallout 76 - Noclip Documentary
Noclip goes behind the scenes at Bethesda Game Studios to uncover the story behind the development of Fallout 76. Through interviews with the development staff we reveal the origins of the game, explore the map of West Virginia and dive into the gameplay of this online twist on Fallout. Noclip's work is 100% crowdfunded. Consider supporting us on Patreon: https://www.patreon.com/noclip Check out our new website here: https://www.noclip.video Buy merch here: https://store.noclip.video Licensed Music Used Low Flying: https://us.audionetwork.com/browse/m/track/low-flying_84171 Don't You want to Come Around 2: https://us.audionetwork.com/browse/m/track/dont-you-want-to-come-around-2_127340 Circuits: https://us.audionetwork.com/browse/m/track/circuits_150269 Fallout 4 Music Used: Imagine Utopia https://www.youtube.com/watch?v=njUYNDbWrao Echoes of the Dead https://www.youtube.com/watch?v=bID-Y_PQbv0 Covert Action https://www.youtube.com/watch?v=dgmjwVE7zQE Combat Ready https://www.youtube.com/watch?v=v0nlnUDKT1s Humanity's Hope https://www.youtube.com/watch?v=nNXzjB6MEb0 Of the People for the People https://www.youtube.com/watch?v=ob_eK3e4520 Brightness Calling https://www.youtube.com/watch?v=Z8H99UWE9m8 #noclipdocs #fallout76
Views: 1518279 Noclip
Jim O'Shaughnessy: "What Works on Wall Street" | Talks at Google
What it takes to be a successful active investor. Hint, it’s much harder than you think. Contrast active and passive equity investing. Risk/rewards. Conclusion—Investors who do not have the following traits and emotional quality should index their portfolios. I find they are the majority of investors today. Also discussion of points of failure for passive and active investors. What traits and emotional characteristics are required to succeed as an active investor? A true long-term perspective on their investments. Discussion of Evolution and why it hampers long-term thinking. Discussion of behavioral biases that hamper successful long-term active investing. Power Point illustrations. Successful active investors value process over outcome. Short-term focus of investors is killing returns. Why you need access to truly long-term data to make intelligent choice. Successful active investors generally ignore forecasts and predictions. Discussion of studies proving forecasts and predictions are virtually worthless; illustrations documenting the failure of forecasts; both within markets and in outside professions. Successful active investors are patient and persistent. Discussion of great investors who may have very different styles, but all share the trait of patience and persistence. Successful active investors have a strong mental attitude. Successful investors are made, not born. Discussion of how successful active investors have a mental attitude bordering on stoicism; how they control how they interpret the world. Tools to use to help you succeed as an active long-term investor. Long-term data uncovered by What Works on Wall Street that you can use to guide your investment strategy. The importance of value; momentum; financial strength and earnings quality in putting together your portfolio. A highlight of stocks with high versus low shareholder yield (Cash dividend %+Bet Buyback %); it’s efficacy since the 1920s What NOT to own, lottery stocks versus the market. The importance of a stock’s market capitalization—the most profitable stocks come from the smallest part of the market (Micro cap stocks) Putting it all together—should you be an active or passive investor? Weight of the evidence for passive and active investing Which type of investor are you? Getting the best out of the style you choose. Discussion and Q/A. This talk moderated by Saurabh Madaan.
Views: 52413 Talks at Google
iBwave Unity Enterprise Platform Video
Project collaboration. Information repository. Data mining and reporting. This is what the iBwave Unity delivers for your in-building wireless network projects. It gets information out of drawers, off desktops and out of people's heads into a central repository where it can be a company asset that everyone can use. It consolidates multiple file formats ranging from iBwave format to Visio, PDF, CAD and Excel file formats. iBwave's enterprise platform, iBwave Unity, is a secure project collaboration and information database that allows your teams to handle their complete project lifecycle through a single web interface. iBwave Unity is essential for project management and to conduct advanced reporting functionalities that offer industry's wireless carriers, system integrators and equipment manufacturers optimal control over their in-building wireless operations and cost. Watch for yourself what others are talking about. You will generate instant business intelligence reports, calculate an aggregated cost of projects' operations at the organizational level and better track your progress on network deployments. Project collaboration. Information repository. Data mining and reporting. This is what the iBwave Unity delivers for your in-building wireless network projects.
Views: 2052 iBwave
👀 Facebook Ads in 2019 | From Facebook Ads Beginner to EXPERT in One Video!
👀 Facebook Ads in 2019 | From Facebook Ads Beginner to EXPERT in One Video! ⏳ Facebook Ads Agency Masterclass 👉 http://bit.ly/FacebookAdMasterclass (CLOSING SOON!) 💥 [FREE] FB Ad Training 👉 http://bit.ly/FREEfbAdsTraining YouTube Exclusive Launch Promo = “BLUENINJA” (50% OFF!) ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 📺 LEARN THE BEST WAYS TO MAKE MONEY ONLINE: Passive Income: http://bit.ly/MoneyTodayOnline Amazon FBA: http://bit.ly/AmazonFBALearnMore Facebook Ads: http://bit.ly/LearnFacebookAdsToday Shopify Dropshipping: http://bit.ly/LearnShopifyToday ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🗣 TALK TO ME ON MY SOCIAL MEDIA ! Instagram ► https://www.instagram.com/kevindavid/ Facebook ► https://www.facebook.com/OfficialKevinDavid SnapChat ► https://snapchat.com/add/kevinhulse PodCast ► http://bit.ly/NinjaPodcastWithKevinDavid Affiliate Program ► http://bit.ly/KevinDavidAffiliate ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 👨‍👩‍👧‍👦 JOIN THE LARGEST ECOMMERCE FACEBOOK FAMILY IN THE WORLD ! Amazon FBA Ninjas ► http://bit.ly/AmazonFBANinjas Shopify Ninjas ► http://bit.ly/ShopifyNinjas Facebook Ad Ninjas ► http://bit.ly/FacebookAdNinjas ClickFunnels Ninjas ► http://bit.ly/CFNinjas Affiliate Ninjas ► http://bit.ly/AffiliateNinjas ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 👨‍👩‍👧‍👦 JOIN THE LARGEST ECOMMERCE FACEBOOK FAMILY IN THE WORLD ! Amazon FBA Ninjas ► http://bit.ly/AmazonFBANinjas Shopify Ninjas ► http://bit.ly/ShopifyNinjas Facebook Ad Ninjas ► http://bit.ly/FacebookAdNinjas ClickFunnels Ninjas ► http://bit.ly/CFNinjas Affiliate Ninjas ► http://bit.ly/AffiliateNinjas ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 👁 About this video : You're about to go on a SERIOUS Facebook Ads Journey, like no other... This video is everything you need to know to go from complete beginner to 75% of the way there. This video covers Custom audiences, the Facebook pixel, Lookalike audiences, how to structure an advertise, what actually sells and gives you a massive headstart to get things with all of your Facebook marketing needs! ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 👋 About this channel : My name is Kevin David and I’m the creator of the freedom movement. I left my 80/hr a week accounting job to create a massive movement of people becoming financially free. In the past year I’ve free thousands of people from the 9-5 grind, and it is my life goal to help millions of people realize there is a better life than being trapped in a cubicle. I teach how to make money online, I teach how to earn passive income, and live the best life you can, with the freedom to do the things you want to do always. Come say hi on social media, I respond to every message and I always will. Remember you can completely change your life at any time, you just need to start. The information contained on this YouTube Channel and the resources available for download/viewing through this YouTube Channel are for educational and informational purposes only.​
Views: 1087971 Kevin David
Centralized Collection and Control of Personal Data: Due for Disruption or Unstoppable Trend?
Talk by Arvind Narayanan at Mozilla July 2012. Centralized Collection and Control of Personal Data: Due for Disruption or Unstoppable Trend? While the Internet was conceived as a decentralized network, the most widely used web applications today tend toward centralization. Control increasingly rests with centralized service providers who, as a consequence, have also amassed unprecedented amounts of data about the behaviors and personalities of individuals. Developers, regulators, and consumer advocates have looked to alternative decentralized architectures as the natural response to threats posed by these centralized services. The result has been a great variety of solutions that include personal data stores (PDS), infomediaries, Vendor Relationship Management (VRM) systems, and federated and distributed social networks. Wikipedia lists over 40 distributed social networks! And yet, for all these efforts, decentralized personal data architectures have seen little adoption. In this talk, based primarily on a recent position paper [1], I will argue that decentralized architectures face tough barriers to adoption, and even if adopted, will not necessarily provide the privacy benefits that are typically ascribed to them. I will then present recommendations for working toward more achievable goals, with particular emphasis on the role of browser vendors. [1] Arvind Narayanan, Vincent Toubiana, Solon Barocas, Helen Nissenbaum, Dan Boneh. A Critical Look at Decentralized Personal Data Architectures. http://randomwalker.info/publications/critical-look-at-decentralization-v1.pdf Copyright Mozilla CC-BY-SA 3.0.
Views: 1133 Arvind Narayanan
With which oil & gas, mineral exploration and mining businesses in Yukon should I look for work?
416-962-2623 / 1-866-760-2623 http://www.immigration.gov.yk.ca/pdf/tfw/ytfwp_application_guide.pdf http://immigroup.com/ With which oil & gas, mineral exploration and mining businesses in Yukon should I look for work? Under the Yukon Temporary Foreign Worker program, the following oil & gas, mineral exploration and mining businesses are allowed to hire temporary foreign workers: • Mineral exploration companies; • Mining companies; • Oil and Gas companies; • Environmental assessment companies working on oil, gas, mineral exploration or mining projects; • Land reclamation companies; • Camp logistics companies. This program is subject to sudden changes. This video was current as of October, 2013. To resolve any issue go to immigroup.com. Re Quality and Feedback email [email protected] (Please reference Research and Development) Did you catch a mistake? Are you looking for answers we don't have? Email us and we'll make a video. Have any feedback to make this even better?
Views: 71 Immigroup Inc
Super Seller on Fiverr : Virtual Assistant
SUPER LEVEL SELLER OVER 2500 Orders COMPLETED So far... www.fiverr.com/anilgoyal/do-data-entry-works I have 4 team members working (16 x 4 operations, week including Saturday and Sunday) with me and we can handle large data entry work with very short deadline. We have a professional specialists over 10 year experience in various types of web research, data entry, e-commerce product entry and other admin related tasks. The services we offer may include the following listed below: - Copy-Pasting - Encoding/Typing - Product Upload - Posting of Advertisements/Listings - Web Research - Data Mining - Web Data Extraction/Scraping - Content Management - PDF to Word Conversion/Excel - Mystery Shopper - Property Listing and Updating (Real Estate) - Virtual Assistant - Bulk Mailing - Image Resizing - Form Filling - Posting Reviews from different IPs - Fillable PDF - E-commerce Data Entry (Magneto,Etsy, Shopify, Ebay, Amazon, OSCommerce, Wordpress) Please contact me first before placing an order if you are a new buyer. This is to avoid confusions about the task and my availability. Thank you! www.fiverr.com/anilgoyal/do-data-entry-works
Views: 138 Anil Goyal
Inside the mind of a master procrastinator | Tim Urban
Tim Urban knows that procrastination doesn't make sense, but he's never been able to shake his habit of waiting until the last minute to get things done. In this hilarious and insightful talk, Urban takes us on a journey through YouTube binges, Wikipedia rabbit holes and bouts of staring out the window -- and encourages us to think harder about what we're really procrastinating on, before we run out of time. For more from Tim Urban, visit Wait But Why: http://www.waitbutwhy.com/ TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksD...
Views: 15926078 TED
Manufacturing (Celonis Process Mining)
Uncover manufacturing inefficiencies, from the entry of the production order all the way through the quality inspection, warehousing and delivery. Which contracts were produced before or after the desired date and why? Why did stops and manual rework occur? What are the effects on storage and personnel costs. Find the answer! If you want to find out more about Process Mining or Automated business process discovery (ABPD) visit http://www.celonis.de
Views: 2506 Celonis
iTrails: Pay-as-you-go Information Integration in Dataspaces
DBClip for the VLDB 2007 paper "iTrails: Pay-as-you-go Information Integration in Dataspaces". Slides at: http://www.dbis.ethz.ch/people/vmarcos/marcos_vldb_2007.ppt and paper at: http://www.dbis.ethz.ch/people/vmarcos/SDK_07.pdf The video presents an overview on a new type of information integration technique that stands in-between search and traditional schema-based integration.
Views: 2009 Marcos Vaz Salles