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WELCOME TO
DEVDAY DA NANG 2017!
Introduction to Machine
Learning through Case
Studies
Thuong Dinh - AgilityIO
DevDay 2017
Contents
Machine Learning Definition
Case Studies
Machine Learning Resources
Q&A
“Machine learning is a type of artificial intelligence (AI) that
provides computers with the ability to learn from data wi...
Type of artificial intelligence (AI)
Learn from Big Data
The Unstructured Data Explosion
Case Studies
Predicting House Prices
How much is my house worth? Look at recent sales in my neighborhood.
How much is my house worth?
Predicting Stock Prices
Reference: Predicting Google’s Stock Price using Linear Regression
Google Finance - Alphabet Inc (...
Email Spam Filtering
Reference: Email Spam Filtering: An Implementation with Python and Scikit-learn
How to collect training data?
Subject: posting
hi , ' m work phonetics project modern irish ' m hard source . anyone recommend book article english ? ' ...
Predicting March Madness
Reference: Applying Machine Learning to March Madness
In 2014, Warren Buffet famously offered 1
b...
➢ Number of regular season wins: 29
➢ Average Points Per Game Scored: 80.30
➢ Average Points Per Game Allowed: 67.61
➢ Ave...
Building Jarvis - Mark’s Personal Assistant
Reference: Building Jarvis - Mark Zuckerberg
Face Recognition
Reference: Face detection API With OpenCV, Machine learning for facial recognition
Messenger Bot or ChatBot
Reference: Chatbots with Seq2Seq
Twitter Chat Log: Sentence to Sentence
Sequence to Sequence Learning
Machine Learning Resources
Coursera - www.coursera.org
Courses: Every course on Coursera is taught by top instructors from the world’s
best universit...
Coursera - www.coursera.org
Taught by: Andrew Ng, Associate Professor, Stanford University;
Chief Scientist, Baidu; Chairm...
Udemy - www.udemy.com
Udemy is a global marketplace for learning and teaching online where students are
mastering new skil...
Udemy - www.udemy.com
https://www.udemy.com/machinelearning
https://www.udemy.com/machine-learning-for-beginners
Ebooks - Machine Learning
Understanding Machine Learning: The aim of this textbook is to introduce
machine learning, and t...
Ebooks - Data Science
Think Stats, 2nd Edition: You’ll learn the entire process of exploratory data
analysis—from collecti...
Kaggle - Online Competition
“In 2010, Kaggle was founded as a
platform for predictive modelling
and analytics competitions...
Q&A
Thank you!
#MakeDanangGreatAgain
Introduction of Machine Learning through case studies - Speaker: Thuong Dinh, Developer at AgilityIO
Introduction of Machine Learning through case studies - Speaker: Thuong Dinh, Developer at AgilityIO
Introduction of Machine Learning through case studies - Speaker: Thuong Dinh, Developer at AgilityIO
Introduction of Machine Learning through case studies - Speaker: Thuong Dinh, Developer at AgilityIO
Introduction of Machine Learning through case studies - Speaker: Thuong Dinh, Developer at AgilityIO
Introduction of Machine Learning through case studies - Speaker: Thuong Dinh, Developer at AgilityIO
Introduction of Machine Learning through case studies - Speaker: Thuong Dinh, Developer at AgilityIO
Introduction of Machine Learning through case studies - Speaker: Thuong Dinh, Developer at AgilityIO
Introduction of Machine Learning through case studies - Speaker: Thuong Dinh, Developer at AgilityIO
Introduction of Machine Learning through case studies - Speaker: Thuong Dinh, Developer at AgilityIO
Introduction of Machine Learning through case studies - Speaker: Thuong Dinh, Developer at AgilityIO
Introduction of Machine Learning through case studies - Speaker: Thuong Dinh, Developer at AgilityIO
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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. 1. WELCOME TO DEVDAY DA NANG 2017!
  2. 2. Introduction to Machine Learning through Case Studies Thuong Dinh - AgilityIO DevDay 2017
  3. 3. Contents Machine Learning Definition Case Studies Machine Learning Resources Q&A
  4. 4. “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
  5. 5. Type of artificial intelligence (AI)
  6. 6. Learn from Big Data The Unstructured Data Explosion
  7. 7. Case Studies
  8. 8. Predicting House Prices How much is my house worth? Look at recent sales in my neighborhood. How much is my house worth?
  9. 9. Predicting Stock Prices Reference: Predicting Google’s Stock Price using Linear Regression Google Finance - Alphabet Inc (NASDAQ:GOOG)
  10. 10. Email Spam Filtering Reference: Email Spam Filtering: An Implementation with Python and Scikit-learn
  11. 11. How to collect training data?
  12. 12. 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
  13. 13. 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
  14. 14. ➢ 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 ...
  15. 15. Building Jarvis - Mark’s Personal Assistant Reference: Building Jarvis - Mark Zuckerberg
  16. 16. Face Recognition Reference: Face detection API With OpenCV, Machine learning for facial recognition
  17. 17. Messenger Bot or ChatBot Reference: Chatbots with Seq2Seq
  18. 18. Twitter Chat Log: Sentence to Sentence
  19. 19. Sequence to Sequence Learning
  20. 20. Machine Learning Resources
  21. 21. 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.
  22. 22. 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
  23. 23. 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.
  24. 24. Udemy - www.udemy.com https://www.udemy.com/machinelearning https://www.udemy.com/machine-learning-for-beginners
  25. 25. 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.
  26. 26. 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.
  27. 27. 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.”
  28. 28. Q&A
  29. 29. Thank you! #MakeDanangGreatAgain

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