Machine Learning & AI - A Gentle Introduction

An introduction to the topics of machine learning and artificial intelligence by Frank Salliau, independent consultant at Mentat-IT, presented at the K-Tech Meetup, Dec 13th 2017 at Sweet Mustard, Kortrijk, Belgium

1. Machine Learning & AI A gentle introduction Frank Salliau KTech Meetup Kortrijk– Dec 13 2017

2. Sci-fi in 1984

3. (Almost) reality in 2017

4. Sci-fi in 2002

5. Reality in 2017

6. More examples …

7. “Alexa, check my calendar ” “Alexa, what is machine learning ? “Alexa, play Spotify

8. What is it all about?

9. What is Machine Learning? “The science of getting computers to act without being explicitly programmed ” - Andrew Ng ( Stanford/ DeepLearning AI )

10. Challenge R ecognize dogs in images

11. What a human sees DOG NOT A DOG

12. What a computer sees ??? ???

13. What do we need? TRAINING DATA

14. Labeled training set ( dog/ not dog ) > 1000 images Untrained Neural Network Training phase DOG (1) NOT DOG (0)

15. Unlabeled image Trained Neural Network Prediction phase 87% DOG 13% NOT DOG

16. Why is this booming now?

17. What are the drivers?

18. ( BIG ) DATA

19. Byte Byte : one grain of rice Credits: David Wellman, http://www.slideshare.net/dwellman/what-is-big-data-24401517

20. Kilobyte Byte : one grain of rice Kilobyte : cup of rice

21. Megabyte Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice

22. Gigabyte Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks

23. Terabyte Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships

24. Petabyte Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan

25. One Byte Exabyte Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states

26. Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states Zettabyte : Fills the Pacific Ocean Zettabyte

27. Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states Zettabyte : Fills the Pacific Ocean Yottabyte : A EARTH SIZE RICE BALL! Yottabyte

28. Byte : one grain of rice Kilobyte : cup of rice Megabyte : 8 bags of rice Gigabyte : 3 Semi trucks Terabyte : 2 Container Ships Petabyte : Blankets Manhattan Exabyte : Blankets west coast states Zettabyte : Fills the Pacific Ocean Yottabyte : A EARTH SIZE RICE BALL! Hobbyist Desktop Internet Big Data The Future

29. 1 Yottabyte 1 Xenottabyte 1 Shilentnobyte 1 Domegemegrottebyte 1 Icosebyte 1 Monoicosebyte

30. Where does all this data come from?

31. The Power of the Crowd

32. Affordable and scalable computing power

33. Brainz

34. Finding your way in the machine learning maze

35. Machine Learning Supervised Learning Unsupervised Learning Reinforcement Learning Deep ( Supervised ) Learning Deep Reinforcement Learning

36. Unsupervised learning

37. Tries to find patterns in unlabeled data “Clustering”

38. Supervised Learning

39. Fits a model to previously labeled data ( e.g “dog” or “ not dog”)

40. Regression

41. Classification

42. Deep Learning

43. Form of supervised learning using neural networks with many layers … hence “deep”

44. Google Translate

45. Google Translate

46. Google Deep Dream (sometimes nightmare)

47. Reinforcement Learning

48. Good course on RL: Udemy - “ Lazy Programmer ”

49. Deep Reinforcement Learning

50. Getting started

51. My personal journey started on … Andrew Ng Machine Learning Deep Learning Many others …

52. More interesting stuff (courses/ books ) on …

53. D3.js - Open Source

54. Resource-intensive computing Machine Learning algorithms can be computationally intensive Repeated multiplication of large matrices Especially true for neural networks Runs for hours on laptop using CPU

55. Rise of the GPU

56. Machine Learning / Data Driven Projects

57. Quality of data: Garbage In Garbage Out

58. Multi-disciplinary team

59. Iterative & explorative process

60. Caveats

61. ” All models are wrong, but some are useful ” George E.P. Box

62. “Software engineers will be obsolete by   2060” ( we’ll see )

63. Do you trust the black box?

64. Interesting read …

65. The Future Is unpredictable , but …

66. Quantum computing QUBIT

67. Microsoft releases Q# Quantum Dev Kit https :// blogs.microsoft.com /ai/2017/12/11/future-quantum-microsoft-releases-free-preview-quantum-development-kit/

68. More interesting reads …

69. Frank Salliau Independent Data Scientist & Machine Learning Expert http://www.mentat-it.be https://be.linkedin.com/in/franksalliau f [email protected]