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

Better than Deep Learning: Gradient Boosting Ma...

Avatar for szilard szilard
June 26, 2019
0
96

Better than Deep Learning: Gradient Boosting Machines (GBM) / 2019 edition - Budapest R and Data Science Meetups - Budapest, June 2019

Avatar for szilard

szilard

June 26, 2019
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 - LA R Meetup - Santa Monica, May 2019
Avatar for szilard szilard
0
26

Featured

See All Featured
The Pragmatic Product Professional
Avatar for Laura Van Doore lauravandoore
36
6.9k
StorybookのUI Testing Handbookを読んだ
Avatar for Shingo Yamazaki zakiyama
31
6.2k
Measuring & Analyzing Core Web Vitals
Avatar for Philip Tellis bluesmoon
9
620
RailsConf 2023
Avatar for Aaron Patterson tenderlove
30
1.2k
VelocityConf: Rendering Performance Case Studies
Avatar for Addy Osmani addyosmani
332
24k
A better future with KSS
Avatar for Kyle Neath kneath
239
18k
Stop Working from a Prison Cell
Avatar for Chris Michel hatefulcrawdad
271
21k
Being A Developer After 40
Avatar for Adrian Kosmaczewski akosma
91
590k
BBQ
Avatar for Matthew Crist matthewcrist
89
9.8k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
Avatar for Dan Newman danielanewman
230
22k
Docker and Python
Avatar for Tania Allard trallard
46
3.6k
Navigating Team Friction
Avatar for Lara Hogan lara
190
15k

Transcript

  1. Better than Deep Learning: Gradient Boosting Machines (GBM) - 2019

    edition Szilard Pafka, PhD Chief Scientist, Epoch (USA) Budapest R & Data Science Meetups June 2019
  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. None
  32. None
  33. None
  34. None
  35. None

  36. Source: Hastie etal, ESL 2ed

  37. Source: Hastie etal, ESL 2ed

  38. Source: Hastie etal, ESL 2ed

  39. Source: Hastie etal, ESL 2ed

  40. None
  41. None
  42. None
  43. None
  44. None
  45. None

  46. 10x

  47. None
  48. None
  49. None

  50. 10x

  51. 10x

  52. None
  53. None
  54. None
  55. None
  56. None
  57. None
  58. None
  59. None
  60. None
  61. None
  62. None
  63. None
  64. None
  65. None
  66. None
  67. None
  68. None
  69. None
  70. None
  71. None
  72. None
  73. None
  74. None
  75. None
  76. None
  77. None
  78. None
  79. None
  80. None
  81. None
  82. None
  83. None
  84. None
  85. None
  86. None
  87. None
  88. None
  89. None
  90. None
  91. None
  92. None

  93. http://www.jmlr.org/papers/volume13/bergstra12a/bergstra12a.pdf

  94. http://www.argmin.net/2016/06/20/hypertuning/

  95. None
  96. None
  97. None
  98. None
  99. None
  100. None
  101. None

  102. CPU 1

  103. CPU 1 CPU 2

  104. CPU 1 CPU 2

  105. CPU 1 CPU 2

  106. CPU 1 CPU 2

  107. None
  108. None
  109. None
  110. None
  111. None
  112. None
  113. None

  114. *

  115. None

  116. no-one is using this crap

  117. (2018)

  118. (2018)

  119. None

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

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

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

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

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

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

  126. None

  127. More:

  128. None
  129. None
  130. None
  131. None

  132. Info and apply here: bit.ly/gbm-bp19

  133. None