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.

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

32. Machine Learning Resources

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.

36. Udemy - www.udemy.com
https://www.udemy.com/machinelearning
https://www.udemy.com/machine-learning-for-beginners

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

41. Thank you!
#MakeDanangGreatAgain