Search results “Web mining architecture diagram event”
KDD ( knowledge data discovery )  in data mining 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: 50470 Last moment tuitions
UML Class Diagram Tutorial
Learn how to make classes, attributes, and methods in this UML Class Diagram tutorial. There's also in-depth training and examples on inheritance, aggregation, and composition relationships. UML (or Unified Modeling Language) is a software engineering language that was developed to create a standard way of visualizing the design of a system. And UML Class Diagrams describe the structure of a system by showing the system’s classes and how they relate to one another. This tutorial explains several characteristics of class diagrams. Within a class, there are attributes, methods, visibility, and data types. All of these components help identify a class and explain what it does. There are also several different types of relationships that exist within UML Class Diagrams. Inheritance is when a child class (or subclass) takes on all the attributes and methods of the parent class (or superclass). Association is a very basic relationship where there's no dependency. Aggregation is a relationship where the part can exist outside the whole. And finally, Composition is when a part cannot exist outside the whole. A class would be destroyed if the class it's related to is destroyed. Further UML Class Diagram information: https://www.lucidchart.com/pages/uml/class-diagram —— Learn more and sign up: http://www.lucidchart.com Follow us: Facebook: https://www.facebook.com/lucidchart Twitter: https://twitter.com/lucidchart Instagram: https://www.instagram.com/lucidchart LinkedIn: https://www.linkedin.com/company/lucidsoftware —— Credits for Photos with Attribution Requirements Tortoise - by Niccie King - http://bit.ly/2uHaL1G Otter - by Michael Malz - http://bit.ly/2vrVoYt Slow Loris - by David Haring - http://bit.ly/2uiBWxg Creep - by Poorna Kedar - http://bit.ly/2twR4K8 Visitor Center - by McGheiver - http://bit.ly/2uip0Hq Lobby - by cursedthing - http://bit.ly/2twBWw9
Views: 499948 Lucidchart
Live Streaming Architecture
Episode 6 - Live Streaming Architecture 3 Live Streaming Sections 1. Publisher 2. Server 3. Viewer
Views: 9948 livestreamninja
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: 132865 nptelhrd
Hub-and-spoke data warehouses | T151
Siloed data marts can lead to incomplete information and additional headcount cost. A monolithic data warehouse has inherent limits. We’ll discuss the benefits of a hub-and-spoke architecture where SQL Data Warehouse acts as a hub for the data marts. You’ll also learn how you can integrate Azure Functions to fully leverage the elasticity of SQL Data Warehouse with autoscale capabilities. Product info:  https://azure.microsoft.com/en-us/services/sql-data-warehouse/ Learn more:  https://docs.microsoft.com/en-us/azure/sql-data-warehouse/
Blockchain Interview Questions and Answers | Blockchain Technology | Blockchain Tutorial | Edureka
** Blockchain Training : https://www.edureka.co/blockchain-training ** This Edureka's Blockchain video consists of the frequently asked Blockchain Interview Questions which will help you in the preparation of Blockchain Interviews. Below are the topics covered in this session: 1. Blockchain Market Trends 2. General Blockchain Interview Questions 3. Advanced Blockchain Interview Questions Here is the link to the Blockchain blog series: https://goo.gl/DPoAHR You can also refer this playlist on Blockchain: https://goo.gl/V5iayd Subscribe to our channel to get video updates. Hit the subscribe button above. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka #Blockchain #Blockchaintutorial #Blockchainonlinetraining #Blockchainforbeginners #BlockchainInterviewQuestions How it Works? 1. This is a 5 Week Instructor led Online Course, 30 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka's Blockchain Course is designed to introduce you to the concept of Blockchain and explain the fundamentals of blockchain and bitcoin. Blockchain course will provide an overview of the structure and mechanism of blockchain. As a beginner, you will be learning the importance of consensus in transactions, how transactions are stored on blockchain, history of bitcoin and how to use bitcoin. Furthermore, you will be taught about the Ethereum platform and its programming language. You will setup your own private blockchain environment using Ethereum. Also, you will develop a smart contract on private Ethereum blockchain and will be deploying the contract from web and console. The course is fed with various use-cases and examples, which makes the learning more interesting. After completing this Course, you should be able to: 1. Comprehend the cryptography and cryptocurrency concepts 2. Encompass the concept of blockchain 3. Understand the importance of blockchain technology 4. Have a deep insight into bitcoin and its network 5. Perceive, how bitcoin transactions are validated by miners 6. Create and use bitcoin account effectively 7. Understand Ethereum blockchain 8. Learn Solidity: Prominent language to develop smart contracts 9. Deploy your private blockchain on web where you can visually see your chains 10. Send transactions between nodes 11. Develop more than one nodes on same blockchain 12. Making your own cryptocurrency 13. Discuss the compelling use-cases of the blockchain 14. Interpret the prospects of blockchain. 15. Assess, how blockchain can improve your business standards. ----------------------------------- Who should go for this course? Anyone having basic programming knowledge and has a zeal to learn new technology can take up the course. Students and professionals aspiring to make a career in the Blockchain technology should opt for the course. ----------------------------------- Why learn Blockchain? Blockchain is a revolutionary technology. It is an ordered back linked-list data structure of blocks of transactions stored in a decentralized peer-to-peer network. It is the underlying infrastructure for bitcoin, a popular cryptocurrency. In near future, many companies will be adopting blockchain technologies for trading publicly. Apart from bitcoin, it can be used for a wide variety of applications such as tracking ownership, digital assets, physical assets, or voting rights. It can also store and run computer code called ‘smart contracts’. However, blockchain is still new and the communities are still exploring the best ways in which it can be used. For more information, please write back to us at [email protected] Call us at US: +18336900808 (Toll Free) or India: +918861301699
Views: 3928 edureka!
Building a useful software dependency visualization system - Tim Dwyer
I have been an information visualization and graph drawing researcher for the better part of 13 years so was therefore excited at the opportunity to build a "practical" graph-visualization tool with the weight and resources of a powerful software company behind me. However, I soon discovered that algorithms for layout and analysis are only one small piece in the puzzle to build a practical visualization tool that people will actually like and use. In this talk I hope to share that journey, some of the insights we acquired along the way, and---of course---spruik the tool itself: CodeMaps in the Microsoft Visual Studio 2012 IDE. Bio: Since 2012 Tim Dwyer is a Senior Lecturer and Larkins Fellow with the Faculty of IT at Monash University. From 2009 to 2012 he was a Senior Software Development Engineer with the Visual Studio group at Microsoft, USA. From 2008 to 2009 he was a Visiting Researcher with the VIBE group at Microsoft Research, USA. He was a Research Fellow at Monash University from 2005 to 2008 and received his PhD from the University of Sydney in 2005.
Views: 506 Jim Pelletier
📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5-MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
A Systematic Review on Educational Data Mining | Final year Projects 2016 - 2017
Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/dhBA4M Chat Now @ http://goo.gl/snglrO Visit Our Channel: https://www.youtube.com/user/myprojectbazaar Mail Us: [email protected]
Views: 335 ClickMyProject
Stream Data Processing for Fun and Profit - David Ostrovsky
Software systems today have to handle increasingly large streams of incoming data, whether it’s user interactions with a web page, events generated by sensors, or messages sent by different system components. Oftentimes, this data loses value over time, becomes irrelevant or stale, which makes handling events quickly and reliably not just desirable, but critical. However, building a system that can process hundreds of thousands, or millions, of events per second without compromising either speed or reliability is a major engineering challenge. This is where distributed data processing frameworks come in. In this session, we’ll talk about stream data processing: where it originated, how it works, when to use it, how to build robust stream processing applications, and the tools available to us. We’ll examine the two most popular platforms used in the industry today: Apache Storm and Apache Spark, as well as some interesting up-and-coming frameworks like Flink, Kafka Streams, Apex and Microsoft Orleans Streams. Each uses a conceptually different approach, has a plethora of features, and works (or doesn’t) best for different use-cases. Understanding how and when to use which streaming data framework is key to building a reliable, scalable, robust system and avoiding painful and costly redesigns down the road. NDC Conferences https://ndcoslo.com https://ndcconferences.com
Views: 1115 NDC Conferences
Wikipedia information flow analysis reveals the scale-free   architecture of the Semantic Space
- By: Adolfo Paolo Masucci, IFISC - Date: 2011-01-27 15:00:00 - Description: We extract the topology of the semantic space in its encyclopedic acception, measuring the semantic flow between the different entries of the largest modern encyclopedia, Wikipedia, and thus creating a directed complex network of semantic flows. Notably at the percolation threshold the semantic space is characterised by scale-free behaviour at different levels of complexity, this relating the semantic space to a wide range of biological, social and linguistics phenomena. In particular we find that the cluster size distribution, representing the size of different semantic areas, is scale-free. Moreover the topology of the resulting semantic space is scale-free in the connectivity distribution and displays small-world properties. However its statistical properties do not allow a classical interpretation via a generative model based on a simple multiplicative process. After giving a detailed description and interpretation of the topological properties of the semantic space, we introduce a stochastic model of content-based network, based on a copy and mutation algorithm and on the Heaps\' law, that is able to capture the main statistical properties of the analysed semantic space, including the Zipf\'s law for the word frequency distribution.
Making Life Multiplanetary
On September 29th at the International Astronautical Congress (IAC) in Adelaide, Australia, SpaceX CEO and Lead Designer Elon Musk provided an update to his 2016 presentation regarding the long-term technical challenges that need to be solved to support the creation of a permanent, self-sustaining human presence on Mars.
Views: 1655495 SpaceX
How to Draw a Data Flow Diagram
This KnowledgeKnugget™ is an overview of Data Flow Diagrams. If you want to learn step by step how to create Data Flow Diagrams (DFDs), Context-level DFDs, and Rigorous Physical Process Models (RPPM), take the full 18 lectures 1.5 hours) eCourse “Data Flow Diagrams Simply Put!” at http://businessanalysisexperts.com/product/ecourse-data-flow-diagrams-context-model/. Prefer reading? Try the ebook version at http://businessanalysisexperts.com/product/dataflow-diagramming-example/. DESCRIPTION: Getting from someone’s explanations of how they do their job to usable and accurate workflow descriptions can be a daunting proposition. In this 8 minute KnowledgeKnugget™ (KK™), recognized business analysis expert Tom Hathaway explains what a DFD is, which symbols are allowed, and what each symbol means. A good DFD is the baseline for identifying problems and defining the requirements for any solution from the business perspective. ABOUT THE COURSE: This course answers the following questions: • What is a Data Flow Diagram (DFD)? • What is a Rigorous Physical Process Model? • What is a Context-Level DFD? • Why should I use Data Flow Diagrams? • What symbols can I use on each type of diagram? • How can I drill down into a process? • How can I show internal processes and flows that produce the results? • What does balancing a Data Flow Diagram mean and what is the business value? • What is the most efficient approach to balancing a DFD? • What business value do process specifications offer? • How can I express detailed specifications for processes and data? • What is “metadata" and why do you need it? • What does a fully balanced DFD look like? • What value does a DFD fragment provide? SIGN UP for the full course today at http://businessanalysisexperts.com/product/ecourse-data-flow-diagrams-context-model/. To view more IT requirements training, visit the Business Analysis Learning Store at http://businessanalysisexperts.com/business-analysis-training-store/.
Views: 171133 BA-EXPERTS
JAVA 2013 Access Policy Consolidation for Event Processing Systems
To Get any Project for CSE,IT ECE,EEE Contact Me @9966032699,8519950799 or mail us - [email protected]­m-Visit Our WebSite www.liotechprojects.com,www.liotech.in
Views: 530 LT LIOTechprojects
How to Design the Perfect UI with Clickstream Analysis
Is there a PERFECT user-interface style for ecommerce websites? If so, how to design it? -- My Dribbble profile: https://dribbble.com/musavvir My Behance profile: https://www.behance.net/musavvir
Views: 461 Musavvir Ahmed
European Geological Data Infrastructure (EGDI)
European Geological Data Infrastructure (EGDI) http://inspire.ec.europa.eu/events/conferences/inspire_2016/page/oral#session_24 Geophysical Layers in European Geological Data Infrastructure ( EGDI )  László Sőrés 7:45 EGDI Metadata Catalogue – the European Geological Data Hub  Dana Capova 17:38 INTEROPERABILITY OF GEOLOGICAL DATA: First ICGC INSPIRE Compliant Geological Data Model  Lola Boquera 34:48 Utilising highly interoperable harmonised INSPIRE web services to create pan - European datasets: an Example for the EuroGeoSurveys' European Geological Data Infrastructure ( EGDI ) using the INSPIRE Earth Science Thematic Cluster  Tim Duffy 50:34 A European Geological Data Infrastructure as a tool for engineering companies working in Europe  Jørgen Tulstrup 1:09:40 Innovation potential of the European Geological Data Infrastructure ( EGDI )  Jørgen Tulstrup 1:25:55
Views: 86 Inspire EU
Link Analysis
Learn how to diagram the nodes and connections of an adversary network to reveal interrelationships.
Views: 926 Robert Folker
The Bitcoin and Blockchain Technology Explained
A block chain is a transaction database shared by all nodes participating in a system based on the Bitcoin protocol. A full copy of a currency's block chain contains every transaction ever executed in the currency. With this information, one can find out how much value belonged to each address at any point in history. ------------------------------------------------------------------- BUY BITCOIN SAFELY HERE: http://bit.ly/BuyBitcoinNow ------------------------------------------------------------------- REGISTER FOR A COINBASE ACCOUNT: http://bit.ly/CoinbaseBitcoinSignup ------------------------------------------------------------------- Every block contains a hash of the previous block. This has the effect of creating a chain of blocks from the genesis block to the current block. Each block is guaranteed to come after the previous block chronologically because the previous block's hash would otherwise not be known. Each block is also computationally impractical to modify once it has been in the chain for a while because every block after it would also have to be regenerated. These properties are what make double-spending of bitcoins very difficult. The block chain is the main innovation of Bitcoin. Honest generators only build onto a block (by referencing it in blocks they create) if it is the latest block in the longest valid chain. "Length" is calculated as total combined difficulty of that chain, not number of blocks, though this distinction is only important in the context of a few potential attacks. A chain is valid if all of the blocks and transactions within it are valid, and only if it starts with the genesis block. For any block on the chain, there is only one path to the genesis block. Coming from the genesis block, however, there can be forks. One-block forks are created from time to time when two blocks are created just a few seconds apart. When that happens, generating nodes build onto whichever one of the blocks they received first. Whichever block ends up being included in the next block becomes part of the main chain because that chain is longer. More serious forks have occurred after fixing bugs that required backward-incompatible changes. Blocks in shorter chains (or invalid chains) are not used for anything. When the bitcoin client switches to another, longer chain, all valid transactions of the blocks inside the shorter chain are re-added to the pool of queued transactions and will be included in another block. The reward for the blocks on the shorter chain will not be present in the longest chain, so they will be practically lost, which is why a network-enforced 100-block maturation time for generations exists. These blocks on the shorter chains are often called "orphan" blocks. This is because the generation transactions do not have a parent block in the longest chain, so these generation transactions show up as orphan in the listtransactions RPC call. Several pools have misinterpreted these messages and started calling their blocks "orphans". In reality, these blocks have a parent block, and might even have children. Because a block can only reference one previous block, it is impossible for two forked chains to merge. • How do Bitcoin Transactions Work? http://www.coindesk.com/information/how-do-bitcoin-transactions-work/ ------------------------------------------------------------------- DID YOU LIKE THIS VIDEO? ------------------------------------------------------------------- Enjoy this video? Click "Mark as good" and give your "LIKE". Subscribe to our channel and follow our publications. Consider making a small Bitcoin donation to this address: 3C2Ti2wegJDFw1Kp3w71Mtr9bKkhyCz8fa. ------------------------------------------------------------------- BUY BITCOIN SAFELY HERE: http://bit.ly/BuyBitcoinNow ------------------------------------------------------------------- REGISTER FOR A COINBASE ACCOUNT: http://bit.ly/CoinbaseBitcoinSignup ------------------------------------------------------------------- ------------------------------------------------------------------- Video credits ------------------------------------------------------------------- http://www.bitcoinproperly.org/ Tags: BTC Bitcoin Bit coin Altcoin Cryptocurrency Buy Bitcoin Sell Bitcoin Bitcoin trading Bitcoin value Bitcoin wallet Bitcoin blockchain Blockchain Satoshi Nakamoto Digital currency
Views: 388166 Rodrigo Henrik
Pattern-Based Business Process Modeling
This video shows how business process models can be captured more quickly and in better quality using patterns.
Views: 46 jagu1026
Molly Wright Steenson: "Architectural Intelligence: How Designers [...]" | Talks at Google
Molly Wright Steenson is the K&L Gates Associate Professor of Ethics & Computational Technologies at Carnegie Mellon University & Senior Associate Dean for Research in the College of Fine Arts. A designer, writer, and international speaker, she is the author of Architectural Intelligence: How Designers and Architects Created the Digital Landscape (MIT Press, 2017), which traces the radical history of AI’s impact on design and architecture, and the co-editor of the forthcoming book Bauhaus Futures (MIT Press, 2019). Molly cut her teeth on the Web in 1994 and has worked at groundbreaking design studios, consultancies, and Fortune 500 companies. She holds a PhD in Architecture from Princeton University and a master’s in architectural history from the Yale School of Architecture. In this talk, Molly Wright Steenson explores the work of four architects in the 1960s and 1970s who incorporated elements of interactivity into their work. Christopher Alexander, Richard Saul Wurman, Cedric Price, and Nicholas Negroponte and the MIT Architecture Machine Group all incorporated technologies—including cybernetics and artificial intelligence—into their work and influenced digital design practices from the late 1980s to the present day.
Views: 2113 Talks at Google
Understanding MSBI Architecture | Edureka
Watch Sample Class Recording: http://www.edureka.co/microsoft-bi?utm_source=youtube&utm_medium=referral&utm_campaign=msbi-architecture MSBI stands for Microsoft Business Intelligence. This powerful suite is composed of tools which helps in providing best solutions for Business Intelligence and Data Mining Queries. This tool uses Visual studio along with SQL server. The video helps us understand the Basic MSBI Architecture Topics covered in the video are: 1.Understanding Reports, Scorecards and Dashboard 2.Cubes & Data Warehouse 3.Data Sources Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world. The topics related to ‘MSBI Architecture’ have been covered in our course ‘Microsoft BI‘. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
Views: 7870 edureka!
bpmNEXT 2013: Process Mining: Discovering Process Maps from Data
Anne Rozinat and Christian W. Gunther, Fluxicon Most organizations have complex processes that are invisible, thus hard to manage or improve. Each stakeholder sees only part of the process. Manual discovery through workshops, interviews, and review of existing documentation is costly and time-consuming, and rarely reflects actual process complexity. Process mining closes this gap by making the real process visible. Our process mining software Disco leverages existing IT data to generate a complete, accurate picture of the process, with actionable insight. Disco automatically analyzes actual process flows, highlights bottlenecks, shows all variants, and allows animated "replay" of the process flow, all done interactively, driven by process questions. Anne Rozinat has more than eight years of experience with process mining technology and obtained her PhD cum laude in the process mining group of Prof. Wil van der Aalst at the Eindhoven University of Technology in the Netherlands. Currently, she is a co-founder of Fluxicon and blogs at http://www.fluxicon.com/blog/. Christian W. Günther is a process mining pioneer. He has laid essential technical foundations as lead architect of the scientific process mining platform ProM, and introduced the map metaphor to process mining in his PhD thesis. His "Fuzzy Mining" approach is the predominant process mining algorithm in practical use today.
Serverless All the Way Down: Build Serverless Systems with Compute, Data, and ML (Cloud Next '18)
Whether your app is mobile, web, or cloud native, Google Cloud Platform (GCP) has an entire suite of serverless tools that can help. What is serverless? It means cloud power available instantly and transparently, without having to create any virtual machines or manage scaling or application runtimes. See how GCP and serverless can make your app's backend more powerful, cheaper, and easier to build and manage. We'll explore compute products like Google Cloud Functions, big data tools, like Firestore and BigQuery, and machine learning tools that can connect to build entire systems (web, mobile, and cloud) that run purely serverless! Event schedule → http://g.co/next18 Watch more Application Development sessions here → http://bit.ly/2zMcTJc Next ‘18 All Sessions playlist → http://bit.ly/Allsessions Subscribe to the Google Cloud channel! → http://bit.ly/NextSub
Views: 1656 Google Cloud Platform
OSIsoft: How is the PI System Used in Materials, Mines, Metals, & Metallurgy
Learn how different companies improved their operational intelligence with OSIsoft’s real-time data infrastructure, the PI system. At http://www.osisoft.com/corporate/mmm/index.html learn more about the PI System in Materials, Mines, Metals, & Metallurgy.
Views: 385 OSIsoftNews
SAS Visual Data Mining and Machine Learning
http://www.sas.com/vdmml Boost analytical productivity and solve your most complex problems faster with a single, integrated in-memory environment that's both open and scalable. SAS VISUAL DATA MINING AND MACHINE LEARNING SAS Visual Data Mining and Machine Learning supports the end-to-end data mining and machine-learning process with a comprehensive, visual (and programming) interface that handles all tasks in the analytical life cycle. It suits a variety of users and there is no application switching. From data management to model development and deployment, everyone works in the same, integrated environment. http://www.sas.com/vdmml 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: 3703 SAS Software
Embedded Automatic Model Training & Forecasting in an Enterprise Software App., Greg Makowski
Greg Makowski, Director of Data Science, LigaDATA How can the process of Knowledge Discovery in Databases be automated, competitive and reliable? One approach is to focus on a narrow vertical market application, with known data sources and data feeds. Then you can automate the Exploratory Data Analysis (EDA) and Preprocessing phases. But how do you automate the selection of training data? Can the enterprise application be installed and configured at a variety of clients without a Senior Knowledge Discovery Engineer? How can you minimize "worst case" results of such a system when used by a business user going through their normal business role? How can you deeply investigate and model "business values" (i.e. things that can get an end user promoted or fired) into the core of the data mining algorithms? This talk will answer these questions and more. The patent-pending application, ELF, is an enterprise application in the retail supply chain vertical market. Before the development of this system, one enterprise application was used to lay out a weekly newspaper flier three weeks before the sales event, which in turn fed data into a replenishment application. The replenishment application kept products on the store shelves, with a minimal amount of over stock and under stock. The pain point was that the retail buyer would have to manually estimate the the sales lift, or the multiplier increase in sales, for every item for every store. While human expertise can be great, it isn't as scalable when applied to a sales event with 1,000 - 4,000 items on sale in 6,000 stores. ELF (Event Lift Forecasting) would import data from a planned event and automatically analyze and forecast the lift for each store-item combination. Data elements used included pricing, placement in the flier, store geography and demographics, seasonality, and product hierarchy. The resulting ELF system produced a 8-30% reduction in over and under stock costs, which is very significant in terms of the low profit margins in the supply chain industry. Speaker Bio Greg Makowski is Director of Data Science at LigaDATA. Prior to that, he was Lead Data Scientist at Elastica,. At CashEdge (acquired by Fiserv), he was Director of Risk Analytics and Policy. He was a Principal Consultant of Golden Data Mining, in Los Altos, California. Since 1992, he has deployed over 70 data mining models for clients in targeted marketing, financial services, supply chain, e-commerce, and Internet advertising in North America, South America and Europe. He has applied a variety of data mining algorithms during these engagements and has experience using SQL, SAS, Java, and areas of Cloud Computing. Greg has eight years of experience in Product Management and over six years of experience working with start ups. http://www.LinkedIn.com/in/GregMakowski http://www.meetup.com/SF-Bay-ACM/ http://www.sfbayacm.org/ Slides: http://www.slideshare.net/gregmakowski/Embedded-Automatic-Model-Training-and-Forc-in-an-Enterprise-SW-Applic Greg did an encore performance here due to our scheduled speaker being unable to attend.
Valerie Wilson - IRi - CPG School, 4/8/15
We’re in a “fact based” sales world. We’re in a world of “Big Data.” Information can paint an important picture of the “why behind the buy.” Valerie Wilson of IRi Worldwide shares with us how to acquire and where to find valuable data that help you keep your product on the shelf. Valerie's presentation is part of Selling To The Masses’ CPG School, held April 2015 in the "center of the retailing universe," a.k.a Bentonville, Arkansas. This event put leaders and founders of early stage CPG companies from across the nation in the same room with representatives and buyers from major retailers (including Walmart and Sam's Club) to discuss "best practices" for doing business on a mass scale. An array of experts in the areas of merchandising, logistics, law, finance, syndicated data and retail sales shared key insights, keeping in mind the unique needs of a young consumer product company. Their presentations were interspersed with accounts from well-established company owners who defied odds to succeed at retail with brands such as JUNK headbands and KISSTIXX lip balm. Selling To The Masses founder Matt Fifer said, “We’re here to help great consumer products get and stay on the shelves of the country’s top retailers. The work of Selling to the Masses, and CPG School more specifically, has been a logical next step for the area based on the consumer product marketing expertise that has amassed here in Northwest Arkansas. With five retailers headquartered here and nearly 1,400 consumer product companies with a presence in the region, including 125 of today’s Fortune 500 companies, this really is the ‘Silicon Valley’ of consumer product innovation and marketing.” To sign up for next quarter's CPG School in Bentonville, please visit www.cpgschool.com. To find out how Selling To The Masses can help take your product concept from idea to shelf, visit www.sellingtothemasses.com.
Views: 1522 Default Name
Click Prediction for Web Image Reranking Using Multimodal Sparse Coding
To get this project in ONLINE or through TRAINING Sessions, Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: [email protected], web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com Click Prediction for Web Image Reranking Using Multimodal Sparse Coding Image reranking is effective for improving the performance of a text-based image search. However, existing reranking algorithms are limited for two main reasons: 1) the textual meta-data associated with images is often mismatched with their actual visual content and 2) the extracted visual features do not accurately describe the semantic similarities between images. Recently, user click information has been used in image reranking, because clicks have been shown to more accurately describe the relevance of retrieved images to search queries. However, a critical problem for click-based methods is the lack of click data, since only a small number of web images have actually been clicked on by users. Therefore, we aim to solve this problem by predicting image clicks. We propose a multimodal hypergraph learning-based sparse coding method for image click prediction, and apply the obtained click data to the reranking of images. We adopt a hypergraph to build a group of manifolds, which explore the complementarity of different features through a group of weights. Unlike a graph that has an edge between two vertices, a hyperedge in a hypergraph connects a set of vertices, and helps preserve the local smoothness of the constructed sparse codes. An alternating optimization procedure is then performed, and the weights of different modalities and the sparse codes are simultaneously obtained. Finally, a voting strategy is used to describe the predicted click as a binary event (click or no click), from the images’ corresponding sparse codes. Thorough empirical studies on a large-scale database including nearly 330K images demonstrate the effectiveness of our approach for click prediction when compared with several other methods. Additional image re-ranking experiments on real world data show the use of click prediction is beneficial to improving the performance of prominent graph-based image re-ranking algorithms.
Views: 203 jpinfotechprojects
GraphConnect 2018 - Live from NYC: Hilary Mason and Emil Eifrem
Live from Times Square in New York City, Neo4j's CEO Emil Eifrem will give the State of the Graph keynote -- talking about the latest advances in Neo4j and the graph ecosystem. Next up, Hilary Mason of Cloudera and Fast Forward Labs fame will talk about the Present and Future of Artificial Intelligence and Machine Learning. #GraphConnect #GraphDatabases #Neo4j
Views: 3483 Neo4j
Introduction to Database Management Systems 1: Fundamental Concepts
This is the first chapter in the web lecture series of Prof. dr. Bart Baesens: Introduction to Database Management Systems. Prof. dr. Bart Baesens holds a PhD in Applied Economic Sciences from KU Leuven University (Belgium). He is currently an associate professor at KU Leuven, and a guest lecturer at the University of Southampton (United Kingdom). He has done extensive research on data mining and its applications. For more information, visit http://www.dataminingapps.com In this lecture, the fundamental concepts behind databases, database technology, database management systems and data models are explained. Discussed topics entail: applications, definitions, file based vs. databased data management approaches, the elements of database systems and the advantages of database design.
Views: 286608 Bart Baesens
Analyzing Text Data with Google Sheets and Cloud Natural Language (Cloud Next '18)
Some of the most valuable insights for businesses come from free-form user feedback, but text data can be difficult to process and summarize in a scalable way. This session will show how to use Cloud Natural Language to open up opportunities for analyzing qualitative feedback alongside quantitative data. I’ll show you how to use Google Forms to collect feedback, Google Sheets and Cloud Natural Language to analyze it, and Data Studio to visualize the insights; a powerful yet lightweight solution! Event schedule → http://g.co/next18 Watch more Collaboration & Productivity sessions here → http://bit.ly/2LldTsw Next ‘18 All Sessions playlist → http://bit.ly/Allsessions Subscribe to the Google Cloud channel! → http://bit.ly/NextSub
Views: 1674 G Suite
BPMN - A tool for Process Discovery (ABPMP Georgia event)
Join the ABPMP - http://abpmp.ga.googlepages.com/ and then click JOIN. In the ABPMP Georgia Event "Introduction to BPMN", Rick Geneva discusses how BPMN can be used very efficiently as a Process Discovery tool
Views: 959 ABPMPGA
Apache Flume Tutorial | Apache Flume Architecture | COSO IT
Video On Apache Flume Tutorial from Video series of Introduction to Big Data and Hadoop. In this we will cover following topics: • What is Flume? | Introduction to Flume. • An Overview of Flume. • Flume V/S Sqoop. | Difference between Flume and Sqoop. • Flume Architecture. • Building Blocks of Flume. | Flume Components. • Configuring Flume Agents. • Flume Components. • Hive Hands-On Demo - Practical Lab Example. COSO IT is a global company with the basic organisational goal of providing excellent products,services and Trainings and certifications in Big Data and Analytics on real time Clusters. Training on Real Time Clusters instead of any virtual machine is very Important because it give you Hands-on experience on Real Time Challenge in Big Data. You can visit our website more information on Training. Website: http://www.cosoit.com Facebook: https://www.facebook.com/cosoit Twitter: https://twitter.com/coso_it Linkedin: https://www.linkedin.com/company/coso-it
Views: 8123 COSO IT
An introduction to Good e-Learning's BPMN 2.0 Course
Kick-start your Business Process Model and Notation training today by taking an accredited BPMN 2.0 e-learning course! Created by the experts, learn how to confidently map consistent and logical organizational processes in line with version 2.0 of the business process modeling global standard. The course will teach you how to adhere to a common modeling method, allowing you to create diagrams that can be shared consistently across all business domains. Good e-Learning are the leading provider of online training for business and IT professionals around the world.
Views: 77 Good e-Learning
SOA Design for Media Facilities
Making IT work for Media Facilities. An SOA approach to system design for Enterprise Media Production Platforms.
Views: 141 Patrick McLean
SAP HANA Academy - Text Search: ESH_SEARCH - Using ESH_CONFIG; Part 2 of 3 [SPS 11]
In this 2nd video of a 3 video series, Tahir Hussain Babar (Bob) shows how to use esh_config, which is a procedure which enables you to create search annotations on SQL Views in SAP HANA. Bob also shows you how an XS OData service can be created to access those entity sets created by esh_config. Scripts ; https://github.com/saphanaacademy/TextAnalysis_Search_Mining/blob/master/ESH_SEARCH_SPS11.txt Thank you for watching. Video by the SAP HANA Academy. SOCIAL MEDIA Feel free to connect with us at the links below: LinkedIn: https://linkedin.com/saphanaacademy Twitter: https://twitter.com/saphanaacademy Facebook: https://www.facebook.com/saphanaacademy/ Google+: https://plus.google.com/u/0/111935864030551244982 Github: https://github.com/saphanaacademy
Views: 1324 SAP HANA Academy
A cloud networking blueprint for securing your workloads (Google Cloud Next '17)
Securing your workloads in the cloud requires shifting away from the traditional “perimeter” security to a “pervasive, hierarchical, scalable” security model. In this video, Prajakta Joshi, Subbaiah Venkata, and Jigar Shah discuss cloud networking best practices for securing enterprise and cloud-native workloads on Google Cloud Platform. They describe a network security blueprint that covers securing your virtual networks (VPCs), DDoS protection, using third-party security appliances and services, and visibility and analytics for your deployments. They also highlight Google’s experiences in delivering its own services securely and future trends in cloud network security. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG
Views: 4983 Google Cloud Platform
Ever wonder how Bitcoin (and other cryptocurrencies) actually work?
Bitcoin explained from the viewpoint of inventing your own cryptocurrency. Videos like these made possible by patreon: https://patreon.com/3blue1brown Protocol Labs: https://protocol.ai/ Interested in contributing? https://protocol.ai/join/ Special thanks to the following patrons: http://3b1b.co/btc-thanks Some people have asked if this channel accepts contributions in cryptocurrency form as an alternative to Patreon. As you might guess, the answer is yes :). Here are the relevant addresses: ETH: 0x88Fd7a2e9e0E616a5610B8BE5d5090DC6Bd55c25 BTC: 1DV4dhXEVhGELmDnRppADyMcyZgGHnCNJ BCH: qrr82t07zzq5uqgek422s8wwf953jj25c53lqctlnw LTC: LNPY2HEWv8igGckwKrYPbh9yD28XH3sm32 Supplement video: https://youtu.be/S9JGmA5_unY Music by Vincent Rubinetti: https://soundcloud.com/vincerubinetti/heartbeat Here are a few other resources I'd recommend: Original Bitcoin paper: https://bitcoin.org/bitcoin.pdf Block explorer: https://blockexplorer.com/ Blog post by Michael Nielsen: https://goo.gl/BW1RV3 (This is particularly good for understanding the details of what transactions look like, which is something this video did not cover) Video by CuriousInventor: https://youtu.be/Lx9zgZCMqXE Video by Anders Brownworth: https://youtu.be/_160oMzblY8 Ethereum white paper: https://goo.gl/XXZddT Music by Vince Rubinetti: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown ------------------ 3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that). If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended Various social media stuffs: Website: https://www.3blue1brown.com Twitter: https://twitter.com/3Blue1Brown Patreon: https://patreon.com/3blue1brown Facebook: https://www.facebook.com/3blue1brown Reddit: https://www.reddit.com/r/3Blue1Brown
Views: 2205585 3Blue1Brown
Part 3: How to Query a Database Using Streams
In this third part of the Speedment Video Tutorials you will learn how to use the generated code when writing Java 8 Streams to query your database.
Views: 1075 Speedment
The Halite Global AI Programming Competition in Google Cloud (Cloud Next '18)
Halite is an open source artificial intelligence programming competition, created by Two Sigma, where players build bots using the coding language of their choice to battle on a two-dimensional virtual board. Halite II, running on GCP, supported about 6,000 active game players from about 100 countries and 1,000 institutions over a three month period. The presentation surveys the principles needed for a successful AI programming competition and describes the architecture of the game environment, particularly the support that GCP provided for the support of 12 million game executions written in over 20 programming languages. Among other topics, this talk illustrates the approaches taken to security, scalability, and the considerations needed to allow machine learning bots to place in the top 50 results. Event schedule → http://g.co/next18 Watch more Machine Learning & AI sessions here → http://bit.ly/2zGKfcg Next ‘18 All Sessions playlist → http://bit.ly/Allsessions Subscribe to the Google Cloud channel! → http://bit.ly/NextSub
Views: 1133 Google Cloud Platform
Project architect job description
A typical project job description includes 4 main part as follows: 1. Job information: job title, reporting relationships, department, job location, manager/supervisor’s title, job code, purpose and objective of the job, job roles… 2. List of main task/duties/responsibilities 3. Contents of Job Specifications • Knowledg/education. • Skill requirements. • Experience. • Abilities. Ability include physical ability, metal ability, aptitudes. 4. Contents of working conditions • Environmental conditions • Job hazards / safety • Machine, tools and equipments Other useful materials for project management that available at projectmanagement123 dot net: • Top 32 free ebooks for project management • Top 12 free tools and techniques for project management • Top 9 skills for project management • Top free 64 project job description templates • 5 steps to writer write an effective project job description • 12 tips to write project job description • Top 12 tips for career development • Top 9 career path tips • Top 14 career objectives • Top 12 career promotion tips • Top 15 ways to search jobs • Top 7 cover letter samples • Top 8 resume samples • 110 project interview questions with answers • 13 types of interview questions and how to solve them • 11 performance appraisal methods (includes appraisal templates and forms) • Top 28 performance appraisal forms • Top 12 salary negotiation tips • Top 9 tips to get high salary The above project job description can be used for fields as: construction, manufacturing, healthcare, non profit, advertising, agile, architecture, automotive, agency, banking, budget, building, business development, consulting, communication, clinical research, design, software development, product development, interior design, web development, engineering, education, events, electrical, exhibition, energy, ngo, finance, fashion, green card, oil gas, hospital, it, entry level, marketing, media, mining, nhs, non technical, oil and gas, offshore, pharmaceutical, real estate, retail, research, human resources, telecommunications, technology, technical, senior, digital, software, web, clinical, hr, infrastructure, business, erp, creative, ict, hvac, sales, uk, implementation, network, operations, architectural, environmental, crm, website, interactive, security, supply chain, logistics, training…
Views: 384 Bakchamber Jones
bpmNEXT 2013: Extreme BPMN: Semantic Web Leveraging BPMN XML Serialization
Lloyd Dugan, BPM, Inc. and Mohamed Keshk, Semantic BPMN This session demonstrates some of the most extreme work performed to date with BPMN -- extending it beyond the process view into semantic meaning and systems architecture. Completed inside the U.S. defense enterprise, BPMN is used for enterprise-level services modeling and within an ontology-based semantic search engine to automate search of process models. The resulting engine leverages the power of the Semantic Web to discover patterns and anomalies across now seamlessly linked repositories. This approach for the first time fully exploits the richness of the BPMN notation, uniquely enabling modeling of executable services as well as context-based retrieval of BPMN artifacts. Lloyd Dugan is the Chief Architect for Business Management, Inc., providing BPMN modeling, system design, and architectural advisory services for the Deputy Chief Management Office (DCMO) of the U.S. Department of Defense (DoD). He is also an Independent Consultant that designs executable BPMN processes that leverage Service Component Architecture (SCA) patterns (aka BPMN4SCA), principally on the Oracle BPMN/SOA platform. He has nearly 27 years of experience in providing IT consulting services to both private and public sector clients. He has an MBA from Duke University's Fuqua School of Business. Mohamed Keshk has been working with Semantic Technology since 2001, and Model Driven Architecture (MDA) since 2005. His most recent work focuses on bridging the gap between semantic technology and metamodel-based standards such as UML2 and BPMN 2.0, including the first ontology-based query engine for BPMN 2.0, based on XMI metamodel. As Sr. Semantic Architect, Mohamed is testing the engine in a production environment to let users instantly retrieve information in a model repository.
142 electrical interview questions and answers pdf ebook
Free ebook: 142 electrical interview questions & answers: http://interviewquestions360.com/free-ebook-142-electrical-interview-questions-and-answers You can use other interview materials for electrical career from site: interviewquestions360.com as below: • free ebook top 18 secrets to win every job interviews • 13 types of interview questions and how to face them • job interview checklist 40 points • top 8 interview thank you letter samples • free 42 cover letter samples • free 48 resume samples • top 15 ways to search new jobs • top 36 situational interview questions • 440 behavioral interview questions ebook pdf download • top 40 second interview questions • 95 management interview questions and answers ebook pdf download • top 30 phone interview questions • 290 competency based interview questions • 45 internship interview questions • 15 tips for job interview attire (dress code, clothes, what to wear) • top 15 written test examples • top 15 closing statements • 20 case study examples for job interview • top 25 scenarios interview questions • top 25 tips for interview preparation • top 10 tips to answer biggest weakness and strengths questions • tips to answer question tell me about yourself • 16 job application tips • top 14 job interview advices • top 18 best interview practices • 25 career goals examples • top 36 technical interview questions • 18 job interview exam samples • Q A 25 questions with answers • 12 followup email thank you letter samples • 15 tips for job interview withour no experience • 15 presentation ideas for job interview • 12 job interview role play examples • 10 job interview techniques • 11 job interview skills • tips to answer question why should I hire you • 25 interview questions to ask employer • 25 job interview assessment test examples • 15 tips to answer experience questions • 12 tips to answer education knowledge questions The above electrical interview questions can be used for fields as: construction, manufacturing, healthcare, non profit, advertising, agile, architecture, automotive, agency, budget, building, business development, consulting, communication, clinical research, design, software development, product development, interior design, web development, engineering, education, events, electrical, exhibition, energy, ngo, finance, fashion, green card, oil gas, hospital, it, marketing, media, mining, nhs, non technical, oil and gas, offshore, pharmaceutical, real estate, retail, research, human resources, telecommunications, technology, technical, senior, digital, software, web, clinical, hr, infrastructure, business, erp, creative, ict, hvac, sales, quality management, uk, implementation, network, operations, architectural, environmental, crm, website, interactive, security, supply chain, logistics, training, project management, administrative management… The above electrical interview questions also can be used for job title levels: electrical technician, electrical engineer, electrical machine interview, electrical maintenance, electrical foreman, technical electrician, entry level electrical, junior electrical, senior electrical, electrical assistant, electrical associate, electrical administrator, electrical clerk, electrical coordinator, electrical consultant, electrical controller, electrical director, electrical engineer, electrical executive, electrical leader, electrical manager, electrical officer, electrical specialist, electrical supervisor, VP electrical…
Views: 94773 ElectricianCareer247
How to take advantage of scale out graph in Azure Cosmos DB  : Build 2018
Real-world data is naturally connected. Learn how to create graph database applications on Azure Cosmos DB and explore the different solutions that it provides to common data scenarios in the enterprise. We will also cover customer cases that currently leverage graph databases in their day-to-day workloads. Create a Free Account (Azure): https://aka.ms/azft-cosmos
Views: 922 Microsoft Developer
CJUG Presents Ted Dunning: How to Find What You Didn't Know to Look For, Practical Anomaly Detection
Anomaly detection is the art of automating surprise. To do this, we have to be able to define what we mean by normal and recognize what it means to be different from that. The basic ideas of anomaly detection are simple. You build a model and you look for data points that don’t match that model. The mathematical underpinnings of this can be quite daunting, but modern approaches provide ways to solve the problem in many common situations. I will describe these modern approaches with particular emphasis on several real use-cases including: a) rate shifts to determine when events such as web traffic, purchases or process progress beacons shift rate b) time series generated by machines or biomedical measurements c) topic spotting to determine when new topics appear in a content stream such as Twitter d) network flow anomalies to determine when systems with defined inputs and outputs act strangely. In building a practical anomaly detection system you have to deal with practical details starting with algorithm selection, data flow architecture, anomaly alerting, user interfaces and visualizations. I will show how to deal with each of these aspects of the problem with an emphasis on realistic system design. Ted Dunning, MapR Chief Applications Architect Ted Dunning is Chief Applications Architect at MapR Technologies and committer and PMC member of the Apache Mahout, Apache ZooKeeper, and Apache Drill projects and mentor for Apache Storm. He contributed to Mahout clustering, classification and matrix decomposition algorithms and helped expand the new version of Mahout Math library. Ted was the chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems, he built fraud detection systems for ID Analytics (LifeLock) and he has issued 24 patents to date. Ted has a PhD in computing science from University of Sheffield. When he’s not doing data science, he plays guitar and mandolin.
Views: 332 Duke Camman
Use Cases and Application Development for Cloud Based Azure Machine Learning
There are a number of ways to get started with machine learning. One of the easiest has been created in the cloud with Azure Machine Learning. Azure ML provides the best of both worlds, an environment to easily apply a variety of different standard machine algorithms while providing the ability to extend the environment to include custom libraries created in R or Python. In this session we will look at what Azure ML can be used for by discussing good cases for the use of this technology. We walk through a model to determine the importance of different criteria, incorporate some SQL code to help model the data and review production deployment options. Ginger Grant: Having worked with the Microsoft BI stack for many years, Ginger Grant is exploring new challenges by applying her data expertise to the expanding field of data science and data visualization. Using R and Machine Learning she has been able to use data and algorithms to answer many different business questions for users. When not working, Ginger is studying for the pilot degree program Microsoft created for Data Science, blogging at DesertIsleSQL.com and speaking at numerous technical events, including SQL Saturdays, GDI and Women Who Code. An active member of the Microsoft data community, she was recently awarded a Microsoft MVP in Data Platform.
bpmNEXT 2013: Automated Assessment of BPMN 2.0 Model Quality
Stephan Fischli, ITpearls ltd. The wide adoption of BPMN has not resulted in uniformly good model quality. BPMN Consultants now face the problem of assessing the quality of dozens of customer process models in a very short time. Process Modeler 6 for Microsoft Visio provides sophisticated built-in process validation based on a variety of quality rule sets for different use cases: conformance to the spec, diagram clarity (BPMN Method and Style), model complexity, simulation, XML interchange, etc. Process Modeler 6 collects "just in time" the information of a process and displays a multidimensional quality score. Stephan Fischli is founder and CEO of ITpearls ltd. and itp commerce ltd., both with headquarters in Bern, Switzerland. Stephan is member of OMG and played an active part in developing the BPMN standard definition. He is a member of the Switzerland's e-Government (eCH) standards group and there further promoting the BPMN standard. Together with Bruce Silver he is founder of the BPM training and certification network BPMessentials.com. Stephan holds degrees in computer science and business management. Antonio Palumbo has been the lead developer of the process modeling suite "Process Modeler for Microsoft Visio" since 2009. During this time, he has been responsible for implementing the BPMN 2.0 standard as well as the "Method & Style" rule set in Process Modeler. He holds a degree in computer science and has worked as a software engineer on various projects in Switzerland and abroad.