Slides from DDD East Anglia session on machine learning, focusing on the simple algorithms before going onto how to use Azure's ML platform to build a movie recommender.

1. Building Skynet

2. I KNOW WHAT YOU DID NEXT SUMMER

4. NOT JUST SCI-FI

5. Targeted adverts

9. VOLUNTEERS ?

12. As WE GROW UP
WE GAIN EXPERIENCE

13. WE COPY OTHERS AS WE GROW UP TO LEARN WORDS

16. 푃퐴퐵= 푃퐵퐴푃퐴 푃(퐵)

17. NHS CHOICES

19. TAKE CLASSIFIED DATA

20. 푃푐표푛푡푎푖푛푠"viagra"푖푠푠푝푎푚푃(푖푠푠푝푎푚) 푃(푐표푛푡푎푖푛푠"viagra")
푃푖푠푠푝푎푚푐표푛푡푎푖푛푠"푣푖푎푔푟푎"=

21. | = Given that

22. Example

27. Example

28. PRODUCTION?

29. SAVE TIME AND MAKE LIFE EASIER

30. M
A
M
L

31. CLASSIFIERS

34. Get data in right format

35. Train model

36. Using trained data to make guesses

37. Adding input point

38. Adding output points

39. Calling our web service

43. CAN I USE ML?

44. DO I HAVE DATA?

45. But what about application size?

46. USER EXPERIENCE