Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Better than Deep Learning: Gradient Boosting M...
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
szilard
June 17, 2020
Technology
0
140
Better than Deep Learning: Gradient Boosting Machines (GBM) - eRum conference - invited talk - June 2020
szilard
June 17, 2020
Tweet
Share
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
szilard
0
210
Make Machine Learning Boring Again: Best Practices for Using Machine Learning in Businesses - Albuquerque Machine Learning Meetup (Online) - Aug 2020
szilard
0
160
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - LA Data Science Meetup - February 2020
szilard
0
130
A Random Walk in Data Science and Machine Learning in Practice - CEU, Business Analytics Masters - Budapest, Febr 2020
szilard
0
320
Better than My Meetup/Conference Talks: Going Deeper in Various GBM Topics - GBM Advanced Workshop - Budapest, Nov 2019
szilard
0
97
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - Budapest BI Forum, Budapest, Nov 2019
szilard
0
150
Make Machine Learning Boring Again: Best Practices for Using Machine Learning in Businesses - LA Data Science Meetup - Playa Vista, August 2019
szilard
0
140
Better than Deep Learning: Gradient Boosting Machines (GBM) / 2019 edition - Budapest R and Data Science Meetups - Budapest, June 2019
szilard
0
120
Better than Deep Learning: Gradient Boosting Machines (GBM) / 2019 edition - LA R Meetup - Santa Monica, May 2019
szilard
0
31
Other Decks in Technology
See All in Technology
Embedded SREの終わりを設計する 「なんとなく」から計画的な自立支援へ
sansantech
PRO
3
2.4k
30万人の同時アクセスに耐えたい!新サービスの盤石なリリースを支える負荷試験 / SRE Kaigi 2026
genda
4
1.2k
予期せぬコストの急増を障害のように扱う――「コスト版ポストモーテム」の導入とその後の改善
muziyoshiz
1
1.8k
We Built for Predictability; The Workloads Didn’t Care
stahnma
0
140
インフラエンジニア必見!Kubernetesを用いたクラウドネイティブ設計ポイント大全
daitak
1
350
AIエージェントを開発しよう!-AgentCore活用の勘所-
yukiogawa
0
150
【Oracle Cloud ウェビナー】[Oracle AI Database + AWS] Oracle Database@AWSで広がるクラウドの新たな選択肢とAI時代のデータ戦略
oracle4engineer
PRO
2
140
Introduction to Sansan for Engineers / エンジニア向け会社紹介
sansan33
PRO
6
68k
Cosmos World Foundation Model Platform for Physical AI
takmin
0
850
Webhook best practices for rock solid and resilient deployments
glaforge
1
280
AWS Network Firewall Proxyを触ってみた
nagisa53
1
220
20260208_第66回 コンピュータビジョン勉強会
keiichiito1978
0
120
Featured
See All Featured
Making the Leap to Tech Lead
cromwellryan
135
9.7k
The innovator’s Mindset - Leading Through an Era of Exponential Change - McGill University 2025
jdejongh
PRO
1
90
Building a Modern Day E-commerce SEO Strategy
aleyda
45
8.6k
Thoughts on Productivity
jonyablonski
74
5k
Tips & Tricks on How to Get Your First Job In Tech
honzajavorek
0
430
Between Models and Reality
mayunak
1
190
Information Architects: The Missing Link in Design Systems
soysaucechin
0
770
Introduction to Domain-Driven Design and Collaborative software design
baasie
1
580
Have SEOs Ruined the Internet? - User Awareness of SEO in 2025
akashhashmi
0
270
Game over? The fight for quality and originality in the time of robots
wayneb77
1
110
Noah Learner - AI + Me: how we built a GSC Bulk Export data pipeline
techseoconnect
PRO
0
110
Ten Tips & Tricks for a 🌱 transition
stuffmc
0
65
Transcript
Better than Deep Learning: Gradient Boosting Machines (GBM) Szilard Pafka,
PhD Chief Scientist, Epoch (USA) e-Rum conference, Milano, Italy / Online June 2020
None
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
Source: Andrew Ng
Source: Andrew Ng
Source: Andrew Ng
None
None
None
None
Source: https://twitter.com/iamdevloper/
None
None
...
None
None
None
http://lowrank.net/nikos/pubs/empirical.pdf http://www.cs.cornell.edu/~alexn/papers/empirical.icml06.pdf
http://lowrank.net/nikos/pubs/empirical.pdf http://www.cs.cornell.edu/~alexn/papers/empirical.icml06.pdf
None
None
None
None
None
None
None
None
None
None
None
Source: Hastie etal, ESL 2ed
Source: Hastie etal, ESL 2ed
None
None
10x
None
None
10x
10x
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/
Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/
Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/
Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/
Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/
Source: https://www.linkedin.com/pulse/winning-solution-kaggledays-2019-competition-san-francisco-mark-peng/
None
More:
More:
More:
None