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

Better than Deep Learning: Gradient Boosting M...

Avatar for szilard szilard
June 17, 2020
Technology
150
0

Better than Deep Learning: Gradient Boosting Machines (GBM) - eRum conference - invited talk - June 2020

Avatar for szilard

szilard

June 17, 2020

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
230
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
170
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - LA Data Science Meetup - February 2020
Avatar for szilard szilard
0
140
A Random Walk in Data Science and Machine Learning in Practice - CEU, Business Analytics Masters - Budapest, Febr 2020
Avatar for szilard szilard
0
330
Better than My Meetup/Conference Talks: Going Deeper in Various GBM Topics - GBM Advanced Workshop - Budapest, Nov 2019
Avatar for szilard szilard
0
110
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - Budapest BI Forum, Budapest, Nov 2019
Avatar for szilard szilard
0
170
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
160
Better than Deep Learning: Gradient Boosting Machines (GBM) / 2019 edition - Budapest R and Data Science Meetups - Budapest, June 2019
Avatar for szilard szilard
0
130
Better than Deep Learning: Gradient Boosting Machines (GBM) / 2019 edition - LA R Meetup - Santa Monica, May 2019
Avatar for szilard szilard
0
37

Other Decks in Technology

See All in Technology
AI駆動開発が変える、大規模開発の前提 ーHuman in the Loop から Human on the Loop へ / AIE2026
Avatar for Visional Engineering ＆ Design visional_engineering_and_design
2
770
AI活用を推進するために ファインディが下した、一つの小さな決断
Avatar for starfish719 starfish719
0
120
はじめてのDatadog
Avatar for KairiM kairim0
0
260
コードレビューを制するチームがソフトウェアデリバリーのフローを制す / Beyond Code Review: Distributing Its Responsibilities Across the SDLC
Avatar for mtx2s mtx2s
3
590
【Gen-AX】20260530開催_JJUG CCC 2026 Spring
Avatar for Gen-AX株式会社 genax
0
310
Platform Engineering as a Product: Criteria for Improvement and Multi-Tenant Design
Avatar for Kumo Ishikawa kumorn5s
0
460
Claude code Orchestra
Avatar for Taisei Ozaki ozakiomumkj
3
890
Strands Agents超入門
Avatar for KintoTech_Dev kintotechdev
1
150
大規模災害時でも高い信頼性を維持するアプリケーション基盤の実現/nikkei-tech-talk46
Avatar for 日本経済新聞社 エンジニア採用事務局 nikkei_engineer_recruiting
0
130
イベントストーミングとKiroの仕様駆動開発で実現する要件の認識合わせプロセス
Avatar for syobochim syobochim
7
1k
Spring Boot における​ AOT Cache 活用テクニックと​ 起動時間改善事例​
Avatar for NTTドコモソリューションズ　Java担当 ntt_dsol_java
0
200
Databricks における 生成AIガバナンスの実践
Avatar for Takaaki Yayoi taka_aki
1
150

Featured

See All Featured
The SEO identity crisis: Don't let AI make you average
Avatar for Varn varn
0
480
Leading Effective Engineering Teams in the AI Era
Avatar for Addy Osmani addyosmani
9
2k
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
Avatar for Mfonobong Umondia mfonobong
2
420
WENDY [Excerpt]
Avatar for Tessa Abrams tessaabrams
11
38k
Stop Working from a Prison Cell
Avatar for Chris Michel hatefulcrawdad
274
21k
What’s in a name? Adding method to the madness
Avatar for The Alliance productmarketing
PRO
24
4.1k
Prompt Engineering for Job Search
Avatar for Mfonobong Umondia mfonobong
0
330
Speed Design
Avatar for Sergey Chernyshev sergeychernyshev
33
1.8k
Navigating the moral maze — ethical principles for Al-driven product design
Avatar for Skipper Chong Warson skipperchong
2
380
Digital Ethics as a Driver of Design Innovation
Avatar for Per Axbom axbom
PRO
1
300
Lessons Learnt from Crawling 1000+ Websites
Avatar for Charles Meaden charlesmeaden
PRO
1
1.3k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
Avatar for Morgane Peng morganepeng
133
19k

Transcript

  1. Better than Deep Learning: Gradient Boosting Machines (GBM) Szilard Pafka,

    PhD Chief Scientist, Epoch (USA) e-Rum conference, Milano, Italy / Online June 2020
  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. Source: Andrew Ng

  5. Source: Andrew Ng

  6. Source: Andrew Ng

  7. None
  8. None
  9. None
  10. None

  11. Source: https://twitter.com/iamdevloper/

  12. None
  13. None

  14. ...

  15. None
  16. None
  17. None

  18. http://lowrank.net/nikos/pubs/empirical.pdf http://www.cs.cornell.edu/~alexn/papers/empirical.icml06.pdf

  19. http://lowrank.net/nikos/pubs/empirical.pdf http://www.cs.cornell.edu/~alexn/papers/empirical.icml06.pdf

  20. None
  21. None
  22. None
  23. None
  24. None
  25. None
  26. None
  27. None
  28. None
  29. None
  30. None

  31. Source: Hastie etal, ESL 2ed

  32. Source: Hastie etal, ESL 2ed

  33. None
  34. None

  35. 10x

  36. None
  37. None

  38. 10x

  39. 10x

  40. None
  41. None
  42. None
  43. None
  44. None
  45. None
  46. None
  47. None
  48. None
  49. None
  50. None
  51. None
  52. None
  53. None
  54. None
  55. None
  56. None
  57. None
  58. None
  59. None
  60. None
  61. None
  62. None

  63. Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/

  64. Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/

  65. Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/

  66. Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/

  67. Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/

  68. Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/

  69. None

  70. More:

  71. More:

  72. More:

  73. None