Search results “Facebook data mining python snake”
Testing Assumptions - Practical Machine Learning Tutorial with Python p.12
We've been learning about regression, and even coded our own very simple linear regression algorithm. Along with that, we've also built a coefficient of determination algorithm to check for the accuracy and reliability of our best-fit line. We've discussed and shown how a best-fit line may not be a great fit, but also explained why our example was correct directionally, even if it was not exact. Now, however, we are at the point where we're using two top-level algorithms, which are subsequently comprised of a handful of smaller algorithms. As we continue building this hierarchy of algorithms, we might wind up finding ourselves in trouble if just one of them have a tiny error, so we want to test our assumptions. https://pythonprogramming.net/sample-data-testing-machine-learning-tutorial/ https://twitter.com/sentdex https://www.facebook.com/pythonprogramming.net/ https://plus.google.com/+sentdex
Views: 60911 sentdex
Facebook Data Analysis with Python Part 5: Cleaning Data
Views: 175 Afiz
Genetic Algorithm in Artificial Intelligence - The Math of Intelligence (Week 9)
Evolutionary/genetic algorithms are somewhat of a mystery to many in the machine learning discipline. You don't see papers regularly published using them but they are a really fascinating subfield and in this video, we're going to use a genetic algorithm to improve invaders in a space invaders game! Code for this video: https://github.com/llSourcell/Evolutionary_Space_Invaders Please Subscribe! And like. And comment. That's what keeps me going. More learning resources: http://www.ai-junkie.com/ga/intro/gat1.html http://www.tutorialspoint.com/genetic_algorithms/ http://www.theprojectspot.com/tutorial-post/creating-a-genetic-algorithm-for-beginners/3 http://www.obitko.com/tutorials/genetic-algorithms/ http://www-cs-students.stanford.edu/~jl/Essays/ga.html http://www.alanzucconi.com/2016/04/06/evolutionary-coputation-1/ Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 23131 Siraj Raval
Level1 News November 16 2018: The Boiler Snake Strikes Again
https://www.one-tab.com/page/br43RknJTwCE5SzoifuInQ 0:30 - Voting Machine Manual Instructed Election Officials to Use Weak Passwords 1:57 - Tencent will soon require Chinese users to present IDs to play its video games 4:01 - Researchers ‘break’ Edge with zero-day remote code exploit 5:09 - Police decrypt 258,000 messages after breaking pricey IronChat crypto app 6:43 - Cisco removed its seventh backdoor account this year, and that's a good thing 7:36 - U.S. Secret Service Warns ID Thieves are Abusing USPS’s Mail Scanning Service 9:00 - 'Almost all' Pakistani banks hacked in security breach, says FIA cybercrime head 9:55 - DJI Drone Vulnerability Exposed Customer Data, Flight Logs, Photos and Videos 11:22 - Researchers Defeat Most Powerful Ad Blockers, Declare a ‘New Arms Race’ 13:57 - The US Military Just Publicly Dumped Russian Government Malware Online 15:11 - VirtualBox zero-day published by disgruntled researcher 16:55 - Samsung built a robot butt just to test its smartphones' durability 18:53 - Microsoft has a version of its new campus in Minecraft 20:20 - Bill Gates Aims to Save $233 Billion by Reinventing the Toilet 23:32 - Chinese headmaster fired over secret coin mining at school 24:51 - Harvard researchers suggest interstellar object might have been from alien civilization 27:21 - Reports of active shooter at NC school turn out to be malfunctioning water heater 29:16 - Self-driving cars could function as moving brothels, academics predict ********************************** Thanks for watching our videos! If you want more, check us out online at the following places: + Website: http://level1techs.com/ + Forums: http://forum.level1techs.com/ + Store: http://store.level1techs.com/ + Patreon: https://www.patreon.com/level1 + L1 Twitter: https://twitter.com/level1techs + L1 Facebook: https://www.facebook.com/level1techs + L1/PGP Streaming: https://www.twitch.tv/teampgp + Wendell Twitter: https://twitter.com/tekwendell + Ryan Twitter: https://twitter.com/pgpryan + Krista Twitter: https://twitter.com/kreestuh + Business Inquiries/Brand Integrations: [email protected] *IMPORTANT* Any email lacking “level1techs.com” should be ignored and immediately reported to [email protected] ------------------------------------------------------------------------------------------------------------- Intro and Outro Music By: Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/
Views: 15782 Level1Techs
How To Create Malware With Python
Awesome to have you here, time to code 🖥️ 🎧 ——————————————————————————————————————————————— JOIN THE DEVELOPER COMMUNITY 👬: ——————————————————————————————————————————————— 📺 SUBSCRIBE ON YOUTUBE: https://goo.gl/qkgzWg 👥 JOIN US ON SLACK: https://goo.gl/dbpgZR 💌 JOIN MY EXCLUSIVE MAILING LIST: https://goo.gl/qz1xeZ ——————————————————————————————————————————————— HOW TO ASK ME QUESTIONS 🎤: ——————————————————————————————————————————————— 👬 1:1 PRIVATE MENTORSHIP: https://goo.gl/P3PgC2 🎨 DM ME ON INSTAGRAM: https://www.instagram.com/jgordonfisher 👥 ASK ME ON SLACK: https://goo.gl/dbpgZR 🔗 Linkedin: https://www.linkedin.com/in/johngordonfisher/ 💬 Facebook: https://www.facebook.com/jgfishercode/ 🐤 Twitter: https://twitter.com/jgordonfisher 🖍️ Quora: https://www.quora.com/profile/John-Fisher-167 ——————————————————————————————————————————————— MORE ABOUT WHAT YOU WATCHED 🎥: ——————————————————————————————————————————————— 📜 DESCRIPTION: Learn how to create a script that can swap out cryptocurrency addresses in the clipboard. *THIS VIDEO IS INTENDED FOR EDUCATIONAL PURPOSES ONLY ——————————————————————————————————————————————— BOOKS I LOVE ❤️: ——————————————————————————————————————————————— DEEP LEARNING: https://amzn.to/2LomU4y HANDS-ON MACHINE LEARNING: https://amzn.to/2JSxhIv VIOLENT PYTHON: https://amzn.to/2u02rZf BLACK-HAT PYTHON: https://amzn.to/2u02rZf CRACKING THE CODING INTERVIEW: https://amzn.to/2KNjN53\
Views: 16903 John G. Fisher
Massive Python  || ViralHog
Occurred on March 22, 2018 / Doonan, QLD, Australia "Massive python uncovered in someone's garden with a big bulge halfway through the snake's length." Watch ViralHog videos every day! Subscribe to us on YouTube: https://goo.gl/A0gBKk Like us on Facebook: https://goo.gl/XQWqJt Follow us on Instagram: https://goo.gl/NMq8dl Follow us on Twitter: https://goo.gl/pF8Xop Submit your own great video and make money: https://goo.gl/yejGkm Contact [email protected] to license this or any ViralHog video.
Views: 875 ViralHog
Build A Complete Project In Machine Learning | Credit Card Fraud Detection | Eduonix
Look what we have for you! Another complete project in Machine Learning! In today's tutorial, we will be building a Credit Card Fraud Detection System from scratch! It is going to be a very interesting project to learn! It is one of the 10 projects from our course 'Projects in Machine Learning' which is currently running on Kickstarter. For this project, we will be using the several methods of Anomaly detection with Probability Densities. We will be implementing the two major algorithms namely, 1. A local out wire factor to calculate anomaly scores. 2. Isolation forced algorithm. To get started we will first build a dataset of over 280,000 credit card transactions to work on! You can access the source code of this tutorial here: https://github.com/eduonix/creditcardML Thank you for watching! We’d love to know your thoughts in the comments section below. Also, don’t forget to hit the ‘like’ button and ‘subscribe’ to ‘Eduonix Learning Solutions’ for regular updates. https://goo.gl/BCmVLG Follow Eduonix on other social networks: ■ Facebook: http://bit.ly/2nL2p59 ■ Linkedin: http://bit.ly/2nKWhKa ■ Instagram: http://bit.ly/2nL8TRu | @eduonix ■ Twitter: http://bit.ly/2eKnxq8
Deep Learning Vs Machine Learning | AI Vs Machine Learning Vs Deep Learning
Deep Learning Vs Machine Learning | AI Vs Machine Learning Vs Deep Learning https://acadgild.com/big-data/data-science-training-certification?aff_id=6003&source=youtube&account=w-8MTXT_N6A&campaign=youtube_channel&utm_source=youtube&utm_medium=al-ml-dl-dif&utm_campaign=youtube_channel Hello and welcome to Acadgild’s tutorial on data science. In this video, we explain the difference between three key concepts artificial intelligence vs machine learning vs deep learning – to understand how they relate to the field of data science. First up, artificial intelligence or AI! What is it? Artificial intelligence is simply any code, technique or algorithm that enables machines to mimic, develop and demonstrate human cognition or behavior. We are in, what many refer to as, the era of “weak AI”. The technology is still in its infancy and is expected to make machines capable of doing anything and everything humans do, in the era of “strong AI”. To transition from weak AI to strong AI, machines need to learn the ways of humans. The techniques and processes, which help machines in this endeavor are broadly categorized under machine learning. Machines learn in predominantly two ways. Their learning is either supervised or unsupervised. In supervised learning, machines learn to predict outcomes with help from data scientists. In unsupervised learning, machines learn to predict outcomes on the go by recognizing patterns in input data. When machines can draw meaningful inferences from large volumes of data sets, they demonstrate the ability to learn deeply. Deep learning requires artificial neural networks (ANNs), which are like the biological neural networks in humans. These networks contain nodes in different layers that are connected and communicate with each other to make sense of voluminous input data. Deep learning is a subset of machine learning, which in turn, is a subset of artificial intelligence. The three technologies help scientists and analysts interpret tons of data and are hence crucial for the field of data science. To learn more about these technologies, subscribe to Acadgild’s blog and Youtube channel. To become an expert, join one of our courses. Thank you for watching and happy learning! For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 16702 ACADGILD
Make a Key Generator in Python
In this video we'll be learning how to create our own license keys using Python, we'll also be using our own algorithm to verify keys we create. Go to https://howcode.org for more! Source code: https://howco.de/python-key Link to DigitalOcean: http://howco.de/d_ocean Link to howCode Facebook: http://howco.de/fb Link to howCode Twitter: http://howco.de/twitter Link to /r/howCode: http://howco.de/reddit Don't forget to subscribe for more!
Views: 2878 howCode
Python Web Scraping Tutorial 21 – Storing Data Media Files
Although printing out to the terminal is a lot of fun it's not incredibly useful when it comes to data aggregation and analysis. In order to make the majority of web scrapers remotely useful we need to be able to save the information that they gather. --- Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebook Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 650 Sukhvinder Singh
Decision Tree Algorithm With Example | Decision Tree In Machine Learning | Data Science |Simplilearn
This Decision Tree algorithm in Machine Learning tutorial video will help you understand all the basics of Decision Tree along with what is Machine Learning, problems in Machine Learning, what is Decision Tree, advantages and disadvantages of Decision Tree, how Decision Tree algorithm works with solved examples and at the end we will implement a Decision Tree use case/ demo in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms. Below topics are covered in this Decision Tree Algorithm Tutorial: 1. What is Machine Learning? ( 02:25 ) 2. Types of Machine Learning? ( 03:27 ) 3. Problems in Machine Learning ( 04:43 ) 4. What is Decision Tree? ( 06:29 ) 5. What are the problems a Decision Tree Solves? ( 07:11 ) 6. Advantages of Decision Tree ( 07:54 ) 7. How does Decision Tree Work? ( 10:55 ) 8. Use Case - Loan Repayment Prediction ( 14:32 ) What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube #MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse - - - - - - - - About Simplilearn Machine Learning course: A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning. - - - - - - - Why learn Machine Learning? Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period. - - - - - - What skills will you learn from this Machine Learning course? By the end of this Machine Learning course, you will be able to: 1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling. 2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project. 3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning. 4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more. 5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems - - - - - - - Who should take this Machine Learning Training Course? We recommend this Machine Learning training course for the following professionals in particular: 1. Developers aspiring to be a data scientist or Machine Learning engineer 2. Information architects who want to gain expertise in Machine Learning algorithms 3. Analytics professionals who want to work in Machine Learning or artificial intelligence 4. Graduates looking to build a career in data science and Machine Learning - - - - - - For more updates on courses and tips follow us on: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 22918 Simplilearn
What is Machine Learning? |  Introduction, Examples & Tutorial | Edureka
This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a dataset for model creation and validation and how you can create a model using any machine learning algorithm! - Check out edureka!'s Channel Here: https://www.youtube.com/watch?v=Up6KLx3m2ww - In this Machine Learning Algorithms Tutorial video you will understand: 1) What is an Algorithm? 2) What is Machine Learning? 3) How is a problem solved using Machine Learning? 4) Types of Machine Learning 5) Machine Learning Algorithms 6) Demo Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #MachineLearningAlgorithms #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 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. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Website: https://www.edureka.co/data-science Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "
The Bot's Adventures In Facebookland - series 1 ep. 2. Scraping About Pages from Facebook.
The second series about bot's adventures in Facebook. Scraping information about marketing firms from their facebook pages bot scraped in the first video http://www.youtube.com/watch?v=ph0Gi9GZwww. The web scraper written on Python is scraping website addresses, firms short descriptions, emails, phones and addresses. http://blablup.com Crawling sites, parsing pages, scraping information from different types sites, storing data in files and databases. Please do not hesitate to contact me, if you need to find, enter, extract, web scraping some data from any sites: [email protected] [email protected] or https://twitter.com/volodin_o https://www.facebook.com/blablubcom https://www.linkedin.com/pub/oleg-vol... https://www.tumblr.com/blog/olegvolodin http://inheritor.elance.com Background music - Keith Kenniff - Years
Views: 284 blablup.com
Develop data processing applications using loops and collections - Python 3
As we understand basics of collections, APIs on top of collection - now it is time for us to develop data processing applications using loops and collections. Course Link: https://kaizen.itversity.com/shop/all-courses/apache-spark-2-with-python-3-pyspark/ We have lot of modules which provide functions for most of the logic we are building as part of this session. This session is to just lay foundation about how data can be processed and also to build intuition around collections. We will be developing applications for below tasks: * Build set of order statuses from list of orders * Get revenue for a given order_id from order_items * Build dict of order_id and revenue in the process of getting revenue for each order * Build dict of date and revenue after filtering for COMPLETE and CLOSED orders and join with order_items to get date and revenue for those COMPLETE and CLOSED orders. There are also exercises which you can give a try after understanding these basic concepts. Connect with me or follow me at https://www.linkedin.com/in/durga0gadiraju https://www.facebook.com/itversity https://github.com/dgadiraju https://www.youtube.com/itversityin https://twitter.com/itversity
Views: 1071 itversity
Data Science in 25 Minutes with GP Pulipaka (Ganapathi Pulipaka): Mastering TensorFlow Tutorial
Ganapathi Pulipaka Chief Data Scientist for AI strategy, neural network architectures, application development of Machine learning, Deep Learning algorithms, experience in applying algorithms, integrating IoT platforms, Python, PyTorch, R, JavaScript, Go Lang, and TensorFlow, Big Data, IaaS, IoT, Data Science, Blockchain, Apache Hadoop, Apache Kafka, Apache Spark, Apache Storm, Apache Flink, SQL, NoSQL, Mathematics, Data Mining, Statistical Framework, SIEM with 6+ Years of AI Research and Development Experience in AWS, Azure, and GCP. Education: PostDoc– CS, PhD in Machine Learning, AI, Big Data Analytics, Engineering and CS, Colorado Technical University, Colorado Springs PhD, Business Administration in Data Analytics, Management Information Systems and Enterprise Resource Management, California University, Irvine Design, develop, and deploy machine learning and deep learning applications to solve the real-world problems in natural language processing, speech recognition, text to speech, chatbots, and speech to text analytics. Experience in data exploration, data preparation, applying supervised and unsupervised machine learning algorithms, machine learning model training, machine learning model evaluation, predictive analytics, bio-inspired algorithms, genetic algorithms, and natural language processing. I wrote around 400 research papers, published two books as a bestselling author on Amazon "The Future of Data Science and Parallel Computing," "Big Data Appliances for In-Memory Computing: A Real-World Research Guide for Corporations to Tame and Wrangle Their Data," and with a vast number of big data tool installations, SQL, NoSQL, practical machine learning project implementations, data analytics implementations, applied mathematics and statistics for publishing with the Universities as part of academic research programs. Currently, I’m working a video course “Mastering PyTorch for Advanced Data Scientist,” to build millions of data scientists around the world for AI practice. I implemented Many projects for Fortune 100 corporations Aerospace, manufacturing, IS-AFS (Apparel footwear solutions), IS-MEDIA (Media and Entertainment), ISUCCS (Customer care services), IS-AUTOMOTIVE (Automotive), IS-Utilities, retail, high-tech, life sciences, healthcare, chemical industry, banking, and service management. Public Keynote Speaker on Robotics and artificial intelligence held on May 21-22 at Los Angeles, CA. Published eBook in November 2017 for SAP Leonardo IoT “The Digital Evolution of Supply Chain Management with SAP Leonardo,” sponsored by SAP. Published eBook in December 2017 for Change HealthCare (McKesson’s HealthCare Corporation) on Machine Learning and Artificial Intelligence for Enterprise HealthCare and Health. Building recommendation systems and applying algorithms for anomaly detection in the financial industry. Deep reinforcement learning algorithms for robotics and IoT. Applying convolutional neural networks, recurrent neural networks, and long-term short memory with deep learning techniques to solve various conundrums. Developed number of machine learning and deep learning programs applying various algorithms and published articles with architecture and practical project implementations on GitHub, medium.com, data driven investor Experience with Python, TensorFlow, Caffe, Theano, Keras, Java, and R Programming languages implementing stacked auto encoders, backpropagation, perceptron, Restricted Boltzmann machines, and Deep Belief Networks. Experience in multiple IoT platforms. Twitter: https://twitter.com/gp_pulipaka Facebook: https://www.facebook.com/ganapathipulipaka LinkedIn: https://www.linkedin.com/in/dr-ganapathi-pulipaka-56417a2
Views: 111 GP Pulipaka
Boelens Python research in the field! w/Ari Flagle
Ari Flagle shares what it takes to conduct research in the field. Please consider contributing for his upcoming trip. All Proceeds from the shirts goes straight to Ari. This enables him to continue his research in New Guinea. Shirts: https://www.customink.com/fundraising/boelens-python-research-conservation?ref=copy-link_social_desktop-campaign-page-share-top-v3&utm_campaign=desktop-campaign-page-share-top-v3&utm_content=boelens-python-research-conservation&utm_medium=social&utm_source=copy-link&side=front&type=1&zoom=false Ari says on his site " I have been truly blessed to have been able to travel to this incredible place called New Guinea for 10 years. I have developed life lasting relationships with local people that work hands on with these incredible animals. My main focus regarding this species is to gain a better understanding of this snakes natural behavior and ecology. It has only been within the last few years that we have been making positive leaps towards greater captive success. My goal is to be able to utilize the wild behavior and data to help strengthen our captive understanding of the species making sure we are doing everything we can correctly while we are caring for them. The information that can be used with our animals that are currently in the hands of private collectors and professional facilities can be the starting point of success for the future. This in turn will help in elevating excessive over collection of Boelens pythons. Currently there are three areas that these snakes are being collected from. The prominent spine of mountains referred to as the New Guinea Highlands, dominates the geography of the island, stretching over 1,600 km (1,000 mi) from the 'head' to the 'tail'. Boelens pythons in my opinion aren’t at risk at this specific moment of disappearing from New Guinea. However that could that could change at anytime. The areas that they inhabit have unfortunate interest from mining and deforestation. This is more of a threat to the species then collection in my opinion. There are lots of areas for isolated population to reside that are inaccessible to people to reach.. I am also working with the local people and giving them a better understanding of why not to over collect the snake and how important it is to not explote them. I have been traveling to different sites observing nesting areas and collecting basic population assessments." https://www.projectblackpython.org/ https://www.facebook.com/portcitypythons Instagram @portcitypythons Twitter @portcitypythons http://www.Portcitypythons.com [email protected] CHECK OUT OUR PODCAST: https://www.facebook.com/https://soundcloud.com/joe-phelan-194475994 Some of my favorite reptile supplies! HerpStat Thermostat: http://amzn.to/2qjG9SI Sani Chip: http://amzn.to/2ETfrUt Maxima Vet Cleaner: http://amzn.to/2CRqTiJ ReptiChip: http://amzn.to/2CSIYwL What Camera do I use? : http://amzn.to/2CRCmi8
Views: 700 Port City Pythons
How to pass data from python to html file (Urdu/Hindi)
My Channel Link: https://www.youtube.com/c/PythonProgramming4u Python tutorial for beginners in hindi or urdu: In this Tutorial you will learn how to pass data from python file to html file by using flask framework. Here is the link of my all related videos: https://www.youtube.com/channel/UC4sG9NWzpLX3rvYE9g3aAQw/videos https://www.youtube.com/channel/UC4sG9NWzpLX3rvYE9g3aAQw/playlists
Views: 174 Python Programming
George Hotz | Livecoding twitchchess | a simple neural chess AI | part1
Date of stream 25 Jun 2018. Live-stream chat added as Subtitles/CC - English (Twitch Chat). Stream title: twitchchess: a simple neural chess AI. how long will it take to beat me? Video archive: - https://youtube.com/commaaiarchive/playlists Source files: - https://github.com/geohot/twitchchess Follow for notifications: - https://twitch.tv/tomcr00s3/ Subscribe to support: - https://twitch.tv/products/tomcr00s3_3000 We archive George Hotz videos for fun. Follow for notifications: - https://twitter.com/commaaiarchive We are not affiliated with comma.ai. Official communication channels: - https://comma.ai - https://twitter.com/comma_ai - https://pscp.tv/comma_ai - https://github.com/commaai - http://slack.comma.ai - https://community.comma.ai - https://comma.ai/jobs - https://comma.ai/shop
Views: 68456 commaai archive
Flight Web Scraping Demo | Python + Selenium |
This video is a demo that helps a user find the cheapest flight from the US to Europe. Although many platforms show you the cheapest way to get to a certain place in Europe, mine can show you the cheapest flights to anywhere in Europe. For each day of any month, you’ll know the flight combination and flight info of cheapest flight to get to Europe. Once you're within Europe, flights are a lot less expensive. Source code: https://github.com/jonny-mills/Flight-web-scraper-Python-Selenium
Views: 84 Jonny Mills
Can Big Data Analysis Swing a Political Election? [IT: The Big Idea Edition]
As nearly everything in our lives transitions from the real to the digital world, the more those things can -- and are -- being tracked. Every like, tweet, search and swipe ours is a piece of that digital data mosaic that makes up our online life. But with that massive amount of information, companies, advertisers and now political campaigns are gaining a big advantage. Andrew Brust is the senior director of market, strategy, and intelligence at Datameer, a big data analytics platform that helps clients analyze and interpret large volumes of information. He said the platform can look for patterns and correlations among what people like, do, and buy. For years, broad information like age, gender, race, and income would form the basis of how individuals were profiled -- demographic data. But now thanks to the wealth of online information companies and political campaigns are able to use a new method: psychographics All that public online data -- the things you search for, the singers you like on Facebook, the church you attend -- contributes to where we stand on what's known as the OCEAN framework. OCEAN stands for openness, conscientiousness, extraversion, agreeableness and neuroticism. And based on those dimensions, the big five, companies can form a remarkably accurate profile of what drives an individual's behavior. "Clearly, demographics and geographics and economics will influence your world view. But equally important or more important are psychographics. That is an understanding of your personality. Cause it's personality that drives behavior. And behavior that obviously influences how you vote," Alexander Nix, the CEO of a company called Cambridge Analytica, said during a lecture at the 2016 Concordia Summit. Cambridge Analytica is a London-based data analytics firm used by Donald Trump in the 2016 election. The firm is co-owned by GOP mega-donor Rebecca Mercer. Steve Bannon, the president's chief strategist, sits on the company's board. "By having hundreds and hundreds of thousands of Americans undertake this survey, we were able to form a model to predict the personality of every single adult in the United States of America," Nix said in the lecture. He said Cambridge possesses 4,000 to 5,000 data points on every single adult in America. Cambridge said that from that trove of data it was able to identify the most persuadable voters and send them targeted messages at key times in order to move them to action. But this type of targeting, while effective, can raise red flags if left unchecked. "There are ways that this can be very creepy and very personalized," said Justin Cappos, a professor at the NYU Tandon School of Engineering. "If a campaign is going and gathering specific people and let's say it finds out that you have had a child who was in the military and killed in action and they custom target an ad to you to try to really tug at your heart strings and use that as a mechanism to say 'Oh this other candidate is a bad person' or 'our candidate wouldn't allow this to happen or something' I think most people would find that very creepy." While Cambridge's website touts having provided the Trump campaign the "expertise and intelligence that helped win the White House," a recent investigation by BuzzFeed News cited interviews with 13 former employees said Cambridge's claim of propelling Trump to victory is "snake oil." Cambridge Analytica declined to be interviewed on camera. But in a statement on the BuzzFeed News article, it told Fox 5: "Cambridge Analytica has always stated on the record that it did not have the opportunity to dive deeply into their psychographic offering because there was not enough time." But with more personal information constantly entering the public domain and companies that are better and smarter about tracking it, in the next election the candidates might know a lot more about you than you do about them. --JOE TOOHEY
Views: 1936 Fox5NY
Modeling Evolution with Tensorflow.js
Neuroevolution is a technique that uses evolutionary algorithms to generate artificial neural networks (ANN), parameters, topology and rules. We can think of it as an optimization strategy, similar to gradient descent, that can in some cases be faster to converge and give better results. We're going to simulate evolution by creating neural network creatures in javascript and having them evolve over time to try and walk across the screen. I'll discuss the steps that our algorithm will take, then code out the neural network class at the end of the video. Code for this video: https://github.com/llSourcell/Modeling_Evolution_with_TensorflowJS Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: https://medium.com/tensorflow/a-gentle-introduction-to-tensorflow-js-dba2e5257702 http://thecodingtrain.com/CodingChallenges/100.2-neuroevolution-flappy-bird.html https://becominghuman.ai/designing-ai-solving-snake-with-evolution-f3dd6a9da867 https://www.cs.ucf.edu/~kstanley/neat.html https://blog.coast.ai/lets-evolve-a-neural-network-with-a-genetic-algorithm-code-included-8809bece164 https://eng.uber.com/deep-neuroevolution/ Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 19061 Siraj Raval
Python - Access Update & Delete List
Python - Access Update & Delete List Watch More Videos at: https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Malhar Lathkar, Tutorials Point India Private Limited
Failing at Machine Learning (Blocky part 2) - Pwn Adventure 3
Part 14: Totally failed at building a neural network or using other machine learning algorithms and in the end just used bruteforce. Blocky's Revenge part 1: https://www.youtube.com/watch?v=PQPO5Z4lVTU 🌴 Playlist: https://www.youtube.com/playlist?list=PLhixgUqwRTjzzBeFSHXrw9DnQtssdAwgG training_data: https://raw.githubusercontent.com/LiveOverflow/PwnAdventure3/master/tools/blocky/training_data to win these output bits have to be 0: [119,96,14,123,128,140,136,148,145,158,154,167,163,160,173] -------------------------------------- Twitter: https://twitter.com/LiveOverflow Website: http://liveoverflow.com/ Subreddit: https://www.reddit.com/r/LiveOverflow/ Facebook: https://www.facebook.com/LiveOverflow/
Views: 31202 LiveOverflow
Leveraging the Power of Python
Python has much to offer database developers, and the transition from PL/SQL is easier than you might think. Get the details in this interview with award-winning Oracle Database technologist, architect, and author Arup Nanda. Also check out Arup's tutorial: "Introduction to Python for PL/SQL Developers - Full Article Series" https://community.oracle.com/docs/DOC-1005069 https://developer.oracle.com/ https://cloud.oracle.com/en_US/tryit
Views: 582 Oracle Developers
11. Introduction to Machine Learning
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: Eric Grimson In this lecture, Prof. Grimson introduces machine learning and shows examples of supervised learning using feature vectors. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 400009 MIT OpenCourseWare
shutdown any computer using cmd
guide: 1 go to start 2 type cmd 3 inside of the cmd type: shutdown -i 4 click add and type the ip address 5 tell what will the computer do below of the ip address pad 6 click the display the waring for 30 sec and costomize it 7 find a plan 8 put a comment
Views: 22 code rain
VLOG 2 - View Mining/ Click Farming in Python
This is a video showing my python 2.7 program which automatically refreshes one of my YouTube channels for me. Please subscribe for more cool programs and ask questions in the comments.
Views: 139 the LIfe of Alex
Machine Learning
Machine Learning 🤖 Subscribe to Optics here: https://bit.ly/2oxWIa4 Scale: B min Thanks for watching! ----------------------------------------------------------------------------- GET THE LATEST LICK PACK FROM OPTICS https://lickpack.opticsmusic.com GET GUITAR TABS FOR OPTICS VIDEOS AND SONGS: https://tabs.opticsmusic.com GET THE GUITAR TONES IN OPTICS VIDEOS: https://tones.opticsmusic.com JOIN THE FACEBOOK GROUP AND BECOME A BETTER GUITAR PLAYER: https://www.fb.com/group/opticsguitarheroes CONNECT WITH OPTICS ON SOCIAL MEDIA: Facebook: https://www.facebook.com/opticsmusic Instagram: https://www.instagram.com/opticsmusic Twitter: https://www.twitter.com/opticsmusic YouTube: https://bit.ly/2AFkw4x Website: https://www.opticsmusic.com Spotify: https://spoti.fi/2MDxMMT
Views: 1040 Optics
The Crazy Nastyass Honey Badger (original narration by Randall)
***BRIDGE THE GAP: http://bit.ly/2FpzE8g ** S'LONG EBAY, HERE'S: http://bit.ly/2Ij6Kbf *PATREON US: https://bit.ly/2DUGjSh *SUBSCRIBE STUPID: http://bit.ly/1a7WiGO *Special thanks 2 Colleen+Keith Begg for their extensive work & care for wildlife and honey badgers. These two are HB OG. *To learn more about the Honey Badger, get Randall's book now!: http://bit.ly/wW79nq --To find out more about the filmmakers and what they do, please visit: http://bit.ly/JSgPWr **GET MINING: http://bit.ly/2IpmF3P VISIT: http://www.fukpolitics.com * GIMMIE DATA: https://bit.ly/2IXQ3Ph GET LAPPY SKINS: http://bit.ly/2E0ScGl BITCOIN DONATIONS WELCOME: 1NbMHZTrkkHHEcik871JY7Cdd2aczy7VzM AND ETHER, THANK YOU: qp8hr09q9w47zm8asje8reu49wmeclq74vtlughalq LITECOIN TOO OF COURSE: MEq1vPQdvCcyvfQ6GCPv9vWsSiMBvUkQC9 ***LOVE THAT BITCOIN CASH!!!: qp8hr09q9w47zm8asje8reu49wmeclq74vtlughalq WE STEEM: http://bit.ly/2IbYB3N D-NASTY: http://bit.ly/2GxuUxd
Views: 89408444 czg123
Study crime analytics at UW-Milwaukee
Crime analysts are becoming the most sought-after persons at all levels of law enforcement. Students at UW-Milwaukee learn analytic and methodological techniques used by crime analysts and gain the qualifications necessary to be successful in any crime analysis position. Get more UWM: https://goo.gl/SvvjHA Facebook: https://www.facebook.com/UWMilwaukee/ Instagram: https://www.instagram.com/uwmilwaukee/ Snapchat: https://www.snapchat.com/add/uwmilwaukee Twitter: https://twitter.com/uwm YouTube: https://www.youtube.com/user/uwmnews
Views: 373 UW-Milwaukee
Image Operations - OpenCV with Python for Image and Video Analysis 4
In this Python with OpenCV tutorial, we're going to cover some of the basics of simple image operations that we can do. Every video breaks down into frames. Each frame, like an image, then breaks down into pixels stored in rows and columns within the frame/picture. Each pixel has a coordinate location, and each pixel is comprised of color values. Let's work out some examples of accessing various bits of these principles. Sample code and text-based version of this tutorial: https://pythonprogramming.net/image-operations-python-opencv-tutorial/ https://pythonprogramming.net https://twitter.com/sentdex https://www.facebook.com/pythonprogramming.net/ https://plus.google.com/+sentdex
Views: 108978 sentdex
RATE - COMMENT - SUBSCRIBE - Check out our WEBSITE! Website: https://www.syntheticprogramming.com/ Patreon: https://www.patreon.com/syntheticprogramming Facebook: https://www.facebook.com/syntheticprogramming
Views: 499717 Synthetic Programming
Boomerang Trick Shots | Dude Perfect
Time to take boomerangs to the next level! ► Click HERE to subscribe to Dude Perfect! http://bit.ly/SubDudePerfect ► Click HERE to watch our most recent videos! http://bit.ly/NewestDudePerfectVideos http://bit.ly/NewestDPVideos ►Click HERE to follow Logan on Instagram! Follow @logan.broadbent: https://www.instagram.com/logan.broadbent ► SHOP our NEW Merchandise! - http://bit.ly/DPStore ►Click HERE to join the exclusive Dude Perfect T-Shirt Club! http://bit.ly/DPTShirtClub Music: Army by Zayde Wolf ►Click HERE to download : http://smarturl.it/ZWGoldenAge Play our NEW iPhone game! ► PLAY Endless Ducker on iPhone -- http://smarturl.it/EndlessDucker ► PLAY Endless Ducker on Android -- http://smarturl.it/EndlessDucker ► VISIT our NEW STORE - http://bit.ly/DPStore ► JOIN our NEWSLETTER - http://bit.ly/DPNewsletterEndCard ► WATCH our STEREOTYPES - http://bit.ly/StereotypesPlaylist In between videos we hang out with you guys on Instagram, Snapchat, Twitter, and Facebook so pick your favorite one and hang with us there too! http://Instagram.com/DudePerfect http://bit.ly/DudePerfectSnapchat http://Twitter.com/DudePerfect http://Facebook.com/DudePerfect Do you have a GO BIG mindset? See for yourself in our book "Go Big." ►http://amzn.to/OYdZ2s A special thanks to those of you who play our iPhone Games and read our book. You guys are amazing and all the great things you tell us about the game and the book make those projects so worthwhile for us! Dude Perfect GAME - http://smarturl.it/DPGameiPhone Dude Perfect BOOK - "Go Big" - http://amzn.to/OYdZ2s Click here if you want to learn more about Dude Perfect: http://www.dudeperfect.com/blog-2/ Bonus points if you're still reading this! Comment As always...Go Big and God Bless! - Your friends at Dude Perfect Business or Media, please contact us at: [email protected] ------------ 5 Best Friends and a Panda. If you like Sports + Comedy, come join the Dude Perfect team! Best known for trick shots, stereotypes, battles, bottle flips, ping pong shots and all around competitive fun, Dude Perfect prides ourselves in making the absolute best family-friendly entertainment possible! Welcome to the crew! Pound it. Noggin. - Dude Perfect
Views: 47099602 Dude Perfect
K Camp - Comfortable (Official Video)
Check out the official music video for "Comfortable" by K Camp K Camp’s debut album “Only Way Is Up” Available NOW iTunes Deluxe Explicit: http://smarturl.it/KCampOWIUdlxEX Google Play Standard Explicit: http://smarturl.it/KCampOWIUstdEXgp Google Play Standard Clean : http://smarturl.it/KCampOWIUstdEDgp Google Play Explicit Deluxe: http://smarturl.it/KCampOWIUdlxEXgp Google Play Clean Deluxe: http://smarturl.it/KCampOWIUdlxEDgp http://kcamp427.com http://twitter.com/twitter.com/kcamp427 http://facebook.com/kcamp427 http://instagram.com/kcamp427 http://vevo.ly/h1MhCH #KCamp #Comfortable #Vevo #HipHop #VevoOfficial
Views: 62172552 KCampVEVO
The Future of Data Science | Data Dialogs 2015
Tristan Zajonc, Sense http://datadialogs.ischool.berkeley.edu/2015/schedule/future-data-science What does the future of data science hold? What are the most promising directions of research? What problems will the next data science companies solve? Drawing on conversations with over 150 data science teams across industry, Dr. Zajonc will explore the challenges and opportunities facing data science over the next decade. Tristan Zajonc Founder and CEO Sense Tristan Zajonc is founder and CEO of Sense, a cloud platform for enterprise data science and big data analytics. Through his work with Sense, Tristan has interacted with dozens of data science teams across multiple industries delivering data science solutions. He was previously a Visiting Fellow at Harvard's Institute for Quantitative Social Science and consultant at the World Bank. Tristan's holds PhD and MPA from Harvard University and a BA from Pomona College.
Cryptocurrency: North Korea may have turned a $200 million profit from Bitcoin - TomoNews
PYONGYANG, NORTH KOREA — The hermit kingdom has found a way to rake in the dough despite intense global pressure over its nuclear capabilities. Subscribe to TomoNews ►►http://bit.ly/Subscribe-to-TomoNews TomoNews is your best source for real news. We cover the funniest, craziest and most talked-about stories on the internet. Our tone is irreverent and unapologetic. If you’re laughing, we’re laughing. If you’re outraged, we’re outraged. We tell it like it is. And because we can animate stories, TomoNews brings you news like you’ve never seen before. Ultimate TomoNews Compilations - Can't get enough of TomoNews? Then this playlist is for you! New videos are added each day http://bit.ly/Ulitmate_TomoNews_Compilations Top TomoNews Stories - A shortcut to the most popular videos on TomoNews! http://bit.ly/Top_TomoNews_Stories World News - Latest international headlines from around the world http://bit.ly/TomoNews_World_News Awww!!! Animals - All the best animal videos! Hungry hippos, tiger hairballs, giant pythons, and many more! http://bit.ly/Aw_Animals Connect with TomoNews! Like TomoNews on Facebook: http://www.facebook.com/TomoNewsUS Follow us on Twitter: @tomonewsus http://www.twitter.com/TomoNewsUS Follow us on Instagram: @tomonewsus http://instagram.com/tomonewsus Get your TomoNews merch today! http://bit.ly/tomonews-teespring Visit our official website for all the latest videos: http://us.tomonews.com Check out our Android app: http://bit.ly/1rddhCj Check out our iOS app: http://bit.ly/1gO3z1f Get top stories delivered to your inbox every day: http://bit.ly/tomo-newsletter
Views: 10733 TomoNews US
CS164 Demo - Spring 2013
A distributed AI toolbox built on top of CS164, a lua-like language Implements BFS, uses mrJob, Hadoop, python interpreter Prof. Bodik
Views: 124 Alex Budilovsky
6.1: Introduction to TensorFlow.js - Intelligence and Learning
TensorFlow.js is a WebGL accelerated, browser based JavaScript library for training and deploying ML models. 🎥 Next Video: https://youtu.be/D-XzAeVvMkg 🔗 TensorFlow.js: https://js.tensorflow.org/ 🔗 What is a tensor?: https://js.tensorflow.org/tutorials/core-concepts.html 🔗 ITP's ML5.js library: https://ml5js.org 🔗 Keras: https://keras.io/ 🎥 My Neural Networks series: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh 🎥 Machine Learning in JavaScript (TensorFlow Dev Summit 2018): https://youtu.be/YB-kfeNIPCE 🚂 The Coding Train website: http://thecodingtrain.com/ 💖 Support this channel on Patreon: https://patreon.com/codingtrain 🛒 To buy Coding Train merchandise: https://www.designbyhumans.com/shop/codingtrain/ 📚 Book recommendations: https://www.amazon.com/shop/thecodingtrain 💻 https://github.com/CodingTrain/website 🎥 For More Intelligence and Learning videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YJ3XfHhT2Mm4Y5I99nrIKX 🎥 For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH 🔗 https://p5js.org/ 🔗 https://processing.org
Views: 71373 The Coding Train
มาลองทำ Machine Learning ใน 10 นาทีกัน !! — BorntoDev x MSP KMITL
ศาสตร์แห่งอนาคตกับ Machine Learning ที่เครื่องจักรสามารถเรียนรู้ได้ด้วยตัวเอง ! กับเครื่องมือสุดเจ๋งของ Microsoft ที่มาช่วยอำนวยความสะดวกสุดๆ กับการเรียนรู้ จะเป็นอย่างไร ไปดูกันได้เลย !! ----------------------------------------- ➤ ติดต่อโฆษณา สนับสนุนได้ที่ : [email protected] ➤Kittikorn Prasertsak (P.Prame) Founder & Co-Founder of BorntoDev ➤กดติดตามช่องของ Youtube ได้ที่ : https://www.youtube.com/c/BorntoDevTH... ➤Facebook : https://www.facebook.com/borntodev ➤Website : http://www.borntodev.com
Views: 10482 BorntoDev
Bắt đầu học Machine Learning từ đâu? (04/11/2017)
Book: https://ml-book-vn.khanhxnguyen.com Page: https://www.facebook.com/mlearners/ Group: https://www.facebook.com/groups/485581088316769/ Resource: http://machineslearner.com/blog/2017/11/03/ml-list/ ​Twitter: https://twitter.com/khanhxuannguyen
Views: 3122 Machine Learners
Tất cả về AI, mạng neuron, máy học, deep learning | Phuong Smith
Tất cả về AI, mạng neuron, máy học, deep learning | Phuong Smith - Tư duy NHỔ CỎ và sự khác biệt của người THÀNH CÔNG: https://youtu.be/4iIXep3iJhQ - Bí quyết của những người giàu là gì? - Cha giàu cha nghèo - Robert T Kiyosaki: https://youtu.be/WhOJ3aHuzxQ - Đừng làm ANH HÙNG Hãy làm KẺ BỎ CUỘC: https://youtu.be/ClYKLQZnv3A - Những thói quen gì sẽ đưa bạn đến thành công?: https://youtu.be/KaY6UQ1tnw4 - Sức mạnh của lòng bàn tay: https://youtu.be/U9KWO_3f05g - 6 NỖI KHỔ chỉ có người SIÊU THÔNG MINH mới hiểu: https://youtu.be/tJBRd4yIfow - Sự khác nhau giữa NGHỀ và NGHIỆP là gì?: https://youtu.be/wl7G43i7Tzo - Cách QUẢN LÝ một nhóm làm việc HIỆU QUẢ: https://youtu.be/jsGPbnWPYfc - Truyện Sư Tử: https://youtu.be/6vp_8-1JdTI - 8 lời NÓI DỐI về tiền bạc sẽ khiến bạn NGẬP trong nợ nần: https://youtu.be/7ktdfDRN8Bg PS: Hãy like và subcribe để đón nhận những video tiếp theo nhé ^^! ---------- Patreon: https://www.patreon.com/PhuongSmith Youtube: https://www.youtube.com/PhuongSmith Page: https://www.facebook.com/SmithNguyenStudio Page: https://www.facebook.com/GauAkaRadio Facebook: https://www.facebook.com/PhuongSmithX Instagram: https://www.instagram.com/PhuongSmithX Phuong Smith - Smith Nguyen Studio #phuongsmith #smithnguyenstudio
Views: 11732 Phuong Smith
datascience@berkeley | Machine Learning at Scale
This course builds on and goes beyond the collect-and-analyze phase of big data by focusing on how machine learning algorithms can be rewritten and extended to scale to work on petabytes of data, both structured and unstructured, to generate sophisticated models used for real-time predictions. Conceptually, the course is divided into two parts. The first covers fundamental concepts of MapReduce parallel computing, through the eyes of Hadoop, MrJob, and Spark, while diving deep into Spark Core, data frames, the Spark Shell, Spark Streaming, Spark SQL, MLlib, and more. The second part focuses on hands-on algorithmic design and development in parallel computing environments (Spark), developing algorithms (decision tree learning), graph processing algorithms (pagerank/shortest path), gradient descent algorithms (support vectors machines), and matrix factorization. Students will use MapReduce parallel compute frameworks for industrial applications and deployments for various fields, including advertising, finance, healthcare, and search engines. Examples and exercises will be made available in Python notebooks (Hadoop Streaming, MrJob and pySpark).
Views: 3293 [email protected]
Machine Learning God (Official Trailer)
Facebook Group: https://www.facebook.com/groups/337122056723193/
Views: 4672 MachineLearningGod
Screen scrape attack
This video shows how data can be stolen via a screen scrape attacks done via applications which do require permissions but not rootkit in order to function. So in other words, if you’re not paying close attention (like most people) and just accept the list of permissions from an app upon installation you passwords and personal information is at risk of being stolen through malicious applications. Link to recorder app used: https://play.google.com/store/apps/details?id=com.spectrl.rec
Views: 374 Arm
Let's Create a Twitter Bot (Listen and Retweet)
Written Tutorial: http://go.ipenywis.com/youtu617c4 --- Official Links---- Official Website: http://ipenywis.com Official Facebook: http://go.ipenywis.com/ipeny4907 Official Twitter: http://go.ipenywis.com/islem9a03 ---Support US--- By Becoming a Patreon: http://go.ipenywis.com/ipeny5024
Views: 665 I Penywis
Machine Learning Pact
Please follow me on social networks: twitter: http://sefdstuff.com/twitter instagram: http://sefdstuff.com/insta reddit: https://www.reddit.com/r/SEFDStuff/ facebook: http://sefdstuff.com/faceb
Views: 247 SEFD Daily
Tại sao nên học Machine Learning? (04/11/2017)
Book: https://ml-book-vn.khanhxnguyen.com Page: https://www.facebook.com/mlearners/ Group: https://www.facebook.com/groups/485581088316769/ Resource: http://machineslearner.com/blog/2017/11/03/ml-list/ ​Twitter: https://twitter.com/khanhxuannguyen
Views: 429 Machine Learners
Creating a blockchain with Javascript (Blockchain, part 1)
Learn how to write your own Blockchain with JavaScript. In this video I'll show you what is behind a blockchain by using simple code. It's not a complete implementation, but enough to understand how blockchains work and how they guarantee that blocks can never be changed. After creating our blockchain we'll try and tamper with it. This will demonstrate a blockchains ability to detect fraud. Next video (implementing proof-of-work): https://youtu.be/HneatE69814 💰 Want to buy Bitcoin or Ethereum? Buy for $100 and get $10 free (through my affiliate link): https://www.coinbase.com/join/59284524822a3d0b19e11134 ► Source code Available on GitHub: https://github.com/SavjeeTutorials/SavjeeCoin ► About me 🐦 Follow me on Twitter: https://twitter.com/savjee ✏️ Check out my blog: https://www.savjee.be ✉️ Subscribe to newsletter: https://goo.gl/nueDfz 👍🏻 Like my Facebook page: https://www.facebook.com/savjee
Meine neue Python + Weihnachten | Elite Dangerous: Horizons #4
Ich hoffe ihr hattet alle schöne Weihnachtstage! :) Viel Spaß mit dem neuen Video =) Sage mir mit einer Bewertung oder einem Kommentar, wie es dir gefallen hat! ^^ Du kannst mich auch auf folgenden sozialen Netzwerken finden :) 🔸Twitch: http://www.twitch.tv/derFrame 🔸Twitter: https://twitter.com/FRMFrame 🔸Facebook: https://www.facebook.com/FrameMassive
Views: 102 Frame
Scraping Techniques to Extract Advertisements from Web Pages
[EuroPython 2011] Mirko Urru,Stefano Cotta Ramusino - 24 June 2011 in "Track Tagliatelle "

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