This is the presentation from our first meetup. We talked about what Machine Learning is, applications of Machine Learning, what to expect from this Meetup, and ended by predicting members age using a picture of their face and their responses to speed dating questions.

1. Hawaii Machine Learning Meetup
Matthew
Motoki
Thomas
Yokota
Sorapong
Khongnawong
Michael
Motoki

2. Introduction – Organizer’s Backgrounds
• Mike
• Education: Master's in Urban and Regional Planning
• Work Experience: Transportation Planner
• Matt
• Education: BS Math; MS Electrical Engineering - Reinforcement Learning
• Work Experience: Analytics Consultant
• Tom
• Education: MPH Public Health, Epidemiology Specialization
• Work Experience: Data Scientist
• Sora
• Education: BS in Electrical and Computer Engineering
• Work Experience: Software Development in C and C#
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3. Table of Contents
• Introduction
• What is Machine Learning?
• Why Machine Learning?
• Applications
• Member Survey Results
• What to Expect from this Meetup
• Human vs AI – Age Prediction
• Conclusion
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4. Table of Contents
• Introduction
• What is Machine Learning?
• Why Machine Learning?
• Applications
• Member Survey Results
• What to Expect from this Meetup
• Human vs AI – Age Prediction
• Conclusion
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5. Table of Contents
• Introduction
• What is Machine Learning?
• Why Machine Learning?
• Applications
• Member Survey Results
• What to Expect from this Meetup
• Human vs AI – Age Prediction
• Conclusion
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6. Introduction – What is Machine Learning?
In your own words, what is machine learning?
• The process of programmatically optimizing linear algebraic
approaches in order to maximize the accuracy of a classification or
regression model.
• Training statistical models to predict things with data.
• Computers doing cool stuff.
• Data science rebranded.
• Robots!
Machine learning is concerned with the question of how to construct
computer programs that automatically improve with experience.
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7. Introduction – What is Machine Learning?
What is machine learning?
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8. Table of Contents
• Introduction
• What is Machine Learning?
• Why Machine Learning?
• Applications
• Member Survey Results
• What to Expect from this Meetup
• Human vs AI – Age Prediction
• Conclusion
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9. Introduction – Why Machine Learning?
Machine Learning Quotes
“A breakthrough in machine learning would be worth ten Microsofts.” ― Bill Gates
“For a very long time it [deep learning] will be a complementary tool that human
scientists and experts can use to help them with the things that humans are not naturally
good.” ― Demis Hassabis
“People worry that computers will get too smart and take over the world, but the real
problem is that they're too stupid and they've already taken over the world.” ― Pedro
Domingos
“Machine learning is like teenage sex: everyone talks about it, nobody really knows how to
do it, everyone thinks everyone else is doing it, so everyone claims they are doing it...”
― Anonymous
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10. Introduction – Why Machine Learning?
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Goodfellow et al., 2016

11. Introduction – Why Machine Learning?
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Goodfellow et al., 2016

12. Table of Contents
• Introduction
• What is Machine Learning?
• Why Machine Learning?
• Applications
• Member Survey Results
• What to Expect from this Meetup
• Human vs AI – Age Prediction
• Conclusion
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13. Introduction – Why Machine Learning?
Applications of Machine Learning
• Weather forecasting
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14. Introduction – Why Machine Learning?
Applications of Machine Learning
• Weather forecasting
• Fraud detection
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15. Introduction – Why Machine Learning?
Applications of Machine Learning
• Weather forecasting
• Fraud detection
• Image classification
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16. Introduction – Why Machine Learning?
Applications of Machine Learning
• Weather forecasting
• Fraud detection
• Image classification
• Product recommendation
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17. Introduction – Why Machine Learning?
Applications of Machine Learning
• Weather forecasting
• Fraud detection
• Image classification
• Product recommendation
• Self-driving cars
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18. Introduction – Why Machine Learning?
Applications of Machine Learning
• Weather forecasting
• Fraud detection
• Image classification
• Product recommendation
• Self-driving cars
• Game playing AI
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19. Introduction – Why Machine Learning?
Case Study - Instacart
Goal: Predict the probability of product reorders
Data: Order history 300,000+ members 50,000+ products (1 GB)
Domain: Market Basket Analysis, One-step ahead forecasting
Solution:
• Gradient Boosted Decision Trees
• Deep Recurrent Neural Networks
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20. Introduction – Why Machine Learning?
Case Study - Cell Division
Goal: Create a board game with an AI opponent that learns
Data: Repeated self-play
Domain: Reinforcement Learning
Solution:
• Q-Learning with Epsilon Greedy Strategies
• Rollout Strategies with Base Heuristics
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Cell|Division

21. Table of Contents
• Introduction
• What is Machine Learning?
• Why Machine Learning?
• Applications
• Member Survey Results
• What to Expect from this Meetup
• Human vs AI – Age Prediction
• Conclusion
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22. Member Survey Results
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∎fewer responses ∎ more responses

23. Member Survey Results
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24. Member Survey Results
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25. Member Survey Results
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26. Member Survey Results
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27. Member Survey Results
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28. Member Survey Results
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29. Table of Contents
• Introduction
• What is Machine Learning?
• Why Machine Learning?
• Applications
• Member Survey Results
• What to Expect from this Meetup
• Human vs AI – Age Prediction
• Conclusion
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30. What to Expect from this Meetup
Promote interest and develop a community
around machine learning and AI in Hawaii
1. Host machine learning related talks
2. Machine learning tutorials
3. Machine learning competitions
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31. What to Expect from this Meetup
Host machine learning related talks
• Primary role as organizers
• Invite members, academia, visiting experts to share knowledge
• Examples
‒ A day in the life of a data scientist (coming soon)
‒ Machine learning primer
‒ How to become a Kaggle master
‒ High performance computing in R/Python
‒ Specific machine learning algorithms
Let us know if you have any suggestions
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32. What to Expect from this Meetup
Machine Learning Tutorials (Study Group)
• Form study groups to leverage online resources
• Most resources are free
• Certifications are available
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33. What to Expect from this Meetup
Machine Learning Competitions
• Host local competitions
• Data visualization challenges
• Predictive analytics challenges
• Team up in global competitions
• Kaggle
• Numerai
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34. Table of Contents
• Introduction
• What is Machine Learning?
• Why Machine Learning?
• Applications
• Member Survey Results
• What to Expect from this Meetup
• Human vs AI – Age Prediction
• Conclusion
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35. Human vs AI – Age Prediction
Compete against machine learning to predict member’s age
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Convolutional Neural Network
IMDB-WIKI Dataset (500k+ facial images)
CatBoost
Speed Dating Data (2002-2004, 8000+ records)

36. Human vs AI – Age Prediction
On a scale of 1-10, how interested are you in the following activities?
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• Exercising
• Dining out
• Museums/galleries
• Hiking/camping
• Gaming
• Dancing/clubbing
• Reading
• Watching TV
• Movies
1. Several times a week
2. Twice a week
3. Once a week
4. Twice a month
5. Once a month
6. Several times a year
7. Almost never

37. Table of Contents
• Introduction
• What is Machine Learning?
• Why Machine Learning?
• Applications
• Member Survey Results
• What to Expect from this Meetup
• Human vs AI – Age Prediction
• Conclusion
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38. We’ll keep you posted
We are working out the details for
• New meetup location
• Upcoming meetup topics
• Hawaii machine learning website
• Recommended massive online
open courses for machine learning
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Thanks for Coming!