![“field of study that gives
computers the ability to learn
without being explicitly
programmed.”
-Arthur Samuel [1959]
What is Machine Learning?](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Superficial Introduction to Machine Learning
- 1. Rana Muhammad Usman @rana_usman ranausmans http://ranausman.wordpress.com Introduction to Machine Learning
- 2. “field of study that gives computers the ability to learn without being explicitly programmed.” -Arthur Samuel [1959] What is Machine Learning?
- 3. Learning… We call him Guddu Guddu is just born and already happy
- 4. Guddu drinks Milk He is happy Learning
- 5. Learning.. +
- 6. • Guddu has learned • Touching Hot Iron causes pain • He would never touch a hot iron again Learning…
- 7. • He aspires to become a doctor Guddu Goes to Medical School
- 8. • Life is hard Guddu in Exams
- 9. • He is happy again Guddu is a doctor
- 10. • Guddu has learned Medicine • He can now diagnose a disease by looking at Medical Reports • It took Guddu 6 good years to learn all this. Guddu in a doctor
- 11. • Just like Guddu, we train Machines Data to learn from it • Machine learns the pattern of Data • We use the learned Machine to predict the unseen. Back to Machine Learning
- 12. Examples of Machine Learning • Identifying Spam Emails • Target Advertisement Audience • Did you mean ___?
- 13. Examples of Machine Learning • 20 million products and their categorization • Frequently Bought Together • Order Supply
- 14. How Retail / Telecom and Banks are using Machine Learning? • Finding Fraud Transactions • Predicting Bad Loans • Risk Management [ Customer Churn ] • Customer Segmentation [good, bad]
- 15. How Hospitals are using Machine Learning? • Finding Readmission [saving $75 billion] • Cost Reduction in Diagnosis • Predicting Breast Cancer
- 16. How Big is Machine Learning Industry?
- 17. Machines can see… Machines are writing Captions.
- 18. Machines can see… "black and white dog jumps over bar."
- 19. Machines can see… "man in blue wetsuit is surfing on wave."
- 20. Machines can see… "a young boy is holding a baseball bat." Ref: http://cs.stanford.edu/people/karpathy/deepimagesent/generationdemo/
- 21. Machine Learning Process • Guddu wants to do specialization • He has learned new things
- 22. Machine Learning Process • He is giving exams test
- 23. Machine Learning Process • He passed all the tests with 90% marks.
- 24. Machine Learning Process • We feed machine data to learn. It’s called Modelling. • We test the machine on 20 % of the fed data. • The results output us the accuracy.
- 25. Machine Learning Process Learning and writing an algorithm • Its easy for human brain but it is tough for a machine. It takes some time and good amount of training data for machine to accurately classify objects Implementation and automation • This is easy for a machine. Once learnt a machine can process one million images without any fatigue where as human brain can’t That’s why ML with bigdata is a deadly combination
- 26. Machine Learning Techniques • Regression • Classification • Clustering • Recommenders
- 27. Regression • When the target is a continuous variable. • Predicting House Prices • Predicting Automobile Prices • Predicting Sales • Predicting Order Quantity
- 28. Classification • Goal is to classify into two or more classes. • Binary Output i.e. YES or NO / 0 or 1 • Predicting if tumor is cancerous or not • If Pakistan will win T20 match or not • If user will click particular ad on internet or not
- 29. Clustering AKA Unsupervised Learning • Goal is to segmentize data into clusters • Customer Segmentation • Marketing Research • Crime Analysis
- 30. Recommenders • information filtering system that seek to predict the 'rating' or 'preference' that a user would give to an item • Youtube Related Videos • IMDB Ratings • Amazon buying suggestion