ExploreML-Beginner Track

As Google's ExploreML facilitator I conducted a workshop for beginners of Machine Learning. These slides introduce Machine Learning in detail. Conducted at VGEC, Ahmedabad.

Transcript

1. Let’s teach Machine Explore ML Krupa Galiya Explore ML Facilitator
4. https://www.autodraw.com/ OR https://magic-sketchpad.glitch.me AutoDraw is a new kind of drawing tool that pairs the magic of machine learning with drawings from talented artists to help everyone create anything visual, fast.
5. Move Mirror https://experiments.withgoogle.com/collecti on/ai/move-mirror/view/mirror
6. Pacman AI https://storage.googleapis.com/tfjs-examples/webcam-transfer-l earning/dist/index.html
7. Quickdraw Game g.co/quickdraw g.co/ quick draw
8. 1. How does the games work? 2. How is it recognising your drawings? 3. Further enquiry: How could we program this? Quickdraw Game - Discussion
9. if object.height > 10: do x if object.color is blue: do y if object.numberOfLegs > 2: do z ... Frame the goal of the product Refine until goals are met Designers and engineers develop flow and logic Quickdraw: Rule-based
10. Quickdraw: Machine Learning Frame the goal of the product Refine until goals are met Train a model using examples
12. Machine Learning is a type of Artificial Intelligence that provides computers with the ability to learn without being explicitly programmed. Learn from Data. it is the study of computer algorithms that improve automatically through experience.
13. Rules-based approach Machine Learning Alphabetising a list of song titles Rules-based Which Approach to Use?
14. Rules-based approach Machine Learning Ranking Web Search Results Rules-based Machine Learning Which Approach to Use?
15. Rules-based Machine Learning Predicting Housing Prices based on Location Machine Learning Which Approach to Use?
16. Processing online payments Rules-based approach Machine Learning Rules-based Which Approach to Use?
17. Classifying an object in a photo Rules-based Machine Learning Machine Learning Which Approach to Use?
18. Each has its benefits Rule-based Approach Machine Learning – Rules are defined – Improvements come from algorithms and network – Learns patterns from data – Improvements can from additional data Recap
19. Idea to Implementation
21. Collect Data Train and Test Model Define Objective Predict and Evaluate Focus on User Machine Learning Process
24. What Can ML Do?
25. Artificial Intelligence Machine Learning Deep Learning
26. Big Data Algorithms Technology ML
27. MAMMAL WILDLIFE LION Classification
28. Regression
29. Clustering
30. Sequence Prediction
31. + = EN Male EN Female JP Male Style Transfer
32. Classification Clustering Regression Sequence Prediction Style Transfer Type of Machine Learning? Recommending what someone will download based on previous purchases. Sequence Prediction
33. Classification Clustering Regression Sequence Prediction Style Transfer Classification Labeling email as spam or not-spam Type of Machine Learning?
34. Classification Clustering Regression Sequence Prediction Style Transfer Identifying trends amongst a group of people who have bought a new music release Clustering Type of Machine Learning?
35. Classification Clustering Regression Sequence Prediction Style Transfer Type of Machine Learning? Determining workout activity based on phone movement. Classification
36. Classification Clustering Regression Sequence Prediction Style Transfer Type of Machine Learning? Predicting the strength of a password Regression Classification
37. Classification Clustering Regression Sequence Prediction Style Transfer Type of Machine Learning? Identifying famous landmarks in a photo Classification
38. Classification Clustering Regression Sequence Prediction Style Transfer Type of Machine Learning? Predicting the quality score for an advertisement Regression
39. Classification Clustering Regression Sequence Prediction Style Transfer Type of Machine Learning? Estimating arrival time based on time of day and traffic. Regression
40. Classification Clustering Regression Sequence Prediction Style Transfer Type of Machine Learning? Translating between two languages Style Transfer
41. Neural Network
42. Let’s try to understand by Visualization https://playground.tensorflow.org/
43. Resources to start ML
44. https://goo.gl/3L9cGu
46. Questions / Review 1. What is ML? 2. ML vs Rule-based 3. Idea to Implementation 4. AI vs ML vs Deep Learning 5. History of ML 6. Types of ML [Classification, Clustering, Regression, Sequence Prediction, Style Transfer]