1. 1. twitter/stitch fix
2. 2. 1. 2.stitch fix + HP Labs : Twitter: Stitch fix :
3. 3. ML Kaggle
4. 4. Kaggle 79 (// ), (/) 4k~ vs
5. 5. CRM
6. 6. A/B > : Actionable insights , so what?
7. 7. vs Ad-hoc, , Analytics Machine Learning (e.g. ) Slide adapted from Josh Wills From the Lab to the Factory
8. 8. ppt Analytics Machine Learning + Slide adapted from Josh Wills From the Lab to the Factory
9. 9. //
10. 10. Stitch Fix + +
11. 11. Stitch fix 5 fit
12. 12. Stitch fix 5
13. 13. Stitch fix 5
14. 14. : 1 + 1 > 2 SKU Pattern
15. 15. : 1 + 1 > 2
16. 16. : 1 + 1 > 2 Context sensitivity/nuance
17. 17. @stitch fix Human computation | ~300, 80 Human computation : ,
18. 18. >
19. 19. : ( ..)
20. 20.
21. 21. , , , (Style rainbow) preppy ,,+
22. 22. Inseam k
23. 23. Mixed-effect logistic regression
24. 24. Naive:
25. 25. ? ? p 1-p censored data
26. 26. = 1 = 0
27. 27. = 1 = 0
28. 28. (selection bias) Heckman
29. 29.
30. 30. @stitch fix Human computation |
31. 31.
32. 32. Thank you ! Jay Wang
33. 33.
34. 34. vs (rules learned from data or humans, learning from data) Slide adapted from Josh Wills From the Lab to the Factory
35. 35. Jet.com Amazon killer: subscription-based retail, Marc Lore (Diapers.com), $50/yr, 5-10% lower price Thumbtacks Service provider referral (how to monetize?) SpotTrender Pre-test video commercials Sano Realtime news discovery from social networks (twitter, instagram, weibo, VK, ..) Common crawl (non-profit) Open repo of web crawl data, billions of pages each month
36. 36.
37. 37. Jet.com Amazon killer: subscription-based retail, Marc Lore (Diapers.com), $50/yr, 5-10% lower price Thumbtacks Service provider referral (how to monetize?) SpotTrender Pre-test video commercials Sano Realtime news discovery from social networks (twitter, instagram, weibo, VK, ..) Common crawl (non-profit) Open repo of web crawl data, billions of pages each month
38. 38. LTV Analytics
39. 39.
40. 40. APP/ /
41. 41.