Machine Learning

Presentation about Machine Learning.
Apr 1 2012 @ GTUG Tbilisi

Transcript

1. Machine Learning Overview and Demo using Google Prediction API
2. What is machine learning?
3. • Medicine • Finance / Banking • Computer Science • Robotics • Gaming • Astronomy • and much more ML is used in
4. Google: processes about 24 petabytes of data per day Facebook: 12 TB of compressed data added per day The Age of Big Data
5. The Age of Big Data
6. • Supervised • Unsupervised • Reinforcement Learning • Recommendation Systems Types of machine learning
7. • Classification • Regression Supervised Learning
8. • Spam filtering • Language detection • Sentiment analysis • News categorisation • Handwriting recognition • Speech recognition • and much more Classification - Predicting discrete values
9. House price prediction example Regression - Predicting continuous values
10. Linear Regression Y = A*X + B Regression - Predicting continuous values
11. Linear Regression Y = A*X + B Regression - Predicting continuous values 125
12. • Clustering Unsupervised Learning
13. Clustering - Finding groups in data
14. • Q - Learning Reinforcement Learning
15. Arthur Samuel (1959) Reinforcement Learning
16. • Collaborative Filtering • Content-Based Filtering Recommender system
17. Recommender system
18. Recommender system
19. • Based on users’ behaviors, activities or preferences • Find similar users and show content which they like and this user has not viewed yet Collaborative Filtering
20. • Based on information about and characteristics of the items that are going to be recommended • Show items that are similar to current item, that user has not viewed yet Content-Based Filtering
21. Prize of US$1,000,000 for improving Recommender System by 10% Netflix Prize 2009
22. Demo Predicting price of used car
23. Machine Learning in the Cloud Google Prediction API
24. Data from myauto.ge
25. http://code.google. com/apis/explorer/#_s=prediction&_v=v1. 5&_m=trainedmodels.predict&id=myauto APIs Explorer
26. Questions?
27. www.helloworld.ge კითხვები და პასუხები პროგრამირების შესახებ
28. Thanks http://blog.giorgijvaridze.com/ @0xh3x