Introduction of Machine Learning through case studies - Speaker: Thuong Dinh, Developer at AgilityIO
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This topic gives you a brief overview, mathematical problems and case studies of using Machine Learning in reality, also introduce basic information for those who wish to know and do research about Machine learning.
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Introduction of Machine Learning through case studies - Speaker: Thuong Dinh, Developer at AgilityIO
- 1. WELCOME TO DEVDAY DA NANG 2017!
- 4. Introduction to Machine Learning through Case Studies Thuong Dinh - AgilityIO DevDay 2017
- 5. Contents Machine Learning Definition Case Studies Machine Learning Resources Q&A
- 6. “Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn from data without being explicitly programmed. Machine learning focuses on the development of computer programs that can change when exposed to new data.“ - From Internet - Machine Learning Definition
- 7. Type of artificial intelligence (AI)
- 8. Learn from Big Data The Unstructured Data Explosion
- 10. Case Studies
- 11. Predicting House Prices How much is my house worth? Look at recent sales in my neighborhood. How much is my house worth?
- 16. Predicting Stock Prices Reference: Predicting Google’s Stock Price using Linear Regression Google Finance - Alphabet Inc (NASDAQ:GOOG)
- 18. Email Spam Filtering Reference: Email Spam Filtering: An Implementation with Python and Scikit-learn
- 19. How to collect training data?
- 20. Subject: posting hi , ' m work phonetics project modern irish ' m hard source . anyone recommend book article english ? ' , specifically interest palatal ( slender ) consonant , work helpful too . thank ! laurel sutton [('phonetics', 1414), ('address', 1293), ('report', 1216), ('mail', 1127), ('send', 1079), ('language', 1072), ('email', 1051), ('program', 1001), ('our', 987), ('list', 935), ('one', 917), ('name', 878), ('receive', 826), ('money', 788), ('free', 762) ... Word count vector [1,0,0,0,0,…….0,0,2,0,0,0,……,0,0,1,0,0,…0,0,1,0,0,……2,0,0,0,0,0] of 3000 dimensions Feature Extraction Subject: posting hi , ' m work phonetics project modern irish ' m hard source . anyone recommend book article english ? ' , specifically interest palatal ( slender ) consonant , work helpful too . thank ! laurel sutton
- 21. Predicting March Madness Reference: Applying Machine Learning to March Madness In 2014, Warren Buffet famously offered 1 billion dollars to anyone who could fill out a perfect bracket. 263 (~ 9.2 quintillion) number of ways
- 22. ➢ Number of regular season wins: 29 ➢ Average Points Per Game Scored: 80.30 ➢ Average Points Per Game Allowed: 67.61 ➢ Average 3’s Per Game Made: 9.21 ➢ Average Turnovers Per Game: 14.39 ➢ Average Assists Per Game: 18.30 ➢ Average Rebounds Per Game: 43.73 ➢ Average Steals Per Game: 7.66 ...
- 24. Building Jarvis - Mark’s Personal Assistant Reference: Building Jarvis - Mark Zuckerberg
- 25. Face Recognition Reference: Face detection API With OpenCV, Machine learning for facial recognition
- 27. Messenger Bot or ChatBot Reference: Chatbots with Seq2Seq
- 28. Twitter Chat Log: Sentence to Sentence
- 29. Sequence to Sequence Learning
- 33. Coursera - www.coursera.org Courses: Every course on Coursera is taught by top instructors from the world’s best universities and educational institutions. Priced at about $29-$99. Specializations: If you want to master a specific career skill, consider joining a Specialization. Contains multiple courses. Priced at $39-$79 per month. Online Degrees: Online degree programs in business, computer science, and data science. Priced at $15-$25,000.
- 34. Coursera - www.coursera.org Taught by: Andrew Ng, Associate Professor, Stanford University; Chief Scientist, Baidu; Chairman and Co-founder, Coursera https://www.coursera.org/learn/machine-learning This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. https://www.coursera.org/specializations/machine-learning The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. https://www.coursera.org/specializations/data-science-python
- 35. Udemy - www.udemy.com Udemy is a global marketplace for learning and teaching online where students are mastering new skills and achieving their goals by learning from an extensive library of over 45,000 courses taught by expert instructors.
- 37. Ebooks - Machine Learning Understanding Machine Learning: The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. IT’S FREE. List of Free Must-Read Books for Machine Learning Machine Learning Mastery: Master machine learning by using it on real life applications, even if you’re starting from scratch. Master Machine Learning Algorithms ideal for Beginner Level. Machine Learning Mastery With Python ideal for Intermediate Level.
- 38. Ebooks - Data Science Think Stats, 2nd Edition: You’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. Data Science from Scratch: Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science.
- 39. Kaggle - Online Competition “In 2010, Kaggle was founded as a platform for predictive modelling and analytics competitions on which companies and researchers post their data and statisticians and data miners from all over the world compete to produce the best models.”
- 40. Q&A