Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Machine Learning Trends in 2017 - Budapest Data...

Avatar for szilard szilard
December 19, 2017
0
120

Machine Learning Trends in 2017 - Budapest Data Christmas - Dec 2017

Avatar for szilard

szilard

December 19, 2017
Tweet

More Decks by szilard

See All by szilard
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - Data Con LA - Oct 2020
Avatar for szilard szilard
0
190
Make Machine Learning Boring Again: Best Practices for Using Machine Learning in Businesses - Albuquerque Machine Learning Meetup (Online) - Aug 2020
Avatar for szilard szilard
0
140
Better than Deep Learning: Gradient Boosting Machines (GBM) - eRum conference - invited talk - June 2020
Avatar for szilard szilard
0
120
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - LA Data Science Meetup - February 2020
Avatar for szilard szilard
0
120
A Random Walk in Data Science and Machine Learning in Practice - CEU, Business Analytics Masters - Budapest, Febr 2020
Avatar for szilard szilard
0
300
Better than My Meetup/Conference Talks: Going Deeper in Various GBM Topics - GBM Advanced Workshop - Budapest, Nov 2019
Avatar for szilard szilard
0
77
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - Budapest BI Forum, Budapest, Nov 2019
Avatar for szilard szilard
0
150
Make Machine Learning Boring Again: Best Practices for Using Machine Learning in Businesses - LA Data Science Meetup - Playa Vista, August 2019
Avatar for szilard szilard
0
120
Better than Deep Learning: Gradient Boosting Machines (GBM) / 2019 edition - Budapest R and Data Science Meetups - Budapest, June 2019
Avatar for szilard szilard
0
96

Featured

See All Featured
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
Avatar for soudai sone soudai
PRO
189
55k
VelocityConf: Rendering Performance Case Studies
Avatar for Addy Osmani addyosmani
332
24k
Reflections from 52 weeks, 52 projects
Avatar for Jefferson Lam jeffersonlam
352
21k
Improving Core Web Vitals using Speculation Rules API
Avatar for Sergey Chernyshev sergeychernyshev
19
1.2k
Agile that works and the tools we love
Avatar for Rasmus Luckow-Nielsen rasmusluckow
331
21k
How GitHub (no longer) Works
Avatar for Zach Holman holman
315
140k
The Web Performance Landscape in 2024 [PerfNow 2024]
Avatar for Tammy Everts tammyeverts
9
860
The Art of Delivering Value - GDevCon NA Keynote
Avatar for David Neal reverentgeek
15
1.7k
Product Roadmaps are Hard
Avatar for C. Todd Lombardo iamctodd
PRO
54
11k
ReactJS: Keep Simple. Everything can be a component!
Avatar for Pedro Nauck pedronauck
667
120k
Practical Tips for Bootstrapping Information Extraction Pipelines
Avatar for Matthew Honnibal honnibal
PRO
23
1.5k
The Cult of Friendly URLs
Avatar for Andy Hume andyhume
79
6.6k

Transcript

  1. Machine Learning Trends in 2017 Szilárd Pafka, PhD Chief Scientist,

    Epoch Budapest Data Christmas December 2017
  2. None

  3. Disclaimer: I am not representing my employer (Epoch) in this

    talk I cannot confirm nor deny if Epoch is using any of the methods, tools, results etc. mentioned in this talk
  4. None

  5. Source: Andrew Ng

  6. None
  7. None
  8. None
  9. None

  10. ...

  11. None
  12. None
  13. None
  14. None
  15. None
  16. None
  17. None
  18. None
  19. None

  20. 10x

  21. 10x

  22. None
  23. None
  24. None
  25. None
  26. None
  27. None
  28. None

  29. 1M: CPU cache effects

  30. (lightgbm 10M)

  31. 16 cores vs 1: 16 cores:

  32. None
  33. None

  34. Aggregation 100M rows 1M groups Join 100M rows x 1M

    rows time [s] time [s]

  35. Aggregation 100M rows 1M groups Join 100M rows x 1M

    rows time [s] time [s]
  36. None
  37. None
  38. None
  39. None
  40. None

  41. me @confs / talks :: 2017