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
A Random Walk in Data Science and Machine Learn...
Search
szilard
February 12, 2020
0
290
A Random Walk in Data Science and Machine Learning in Practice - CEU, Business Analytics Masters - Budapest, Febr 2020
szilard
February 12, 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
160
Make Machine Learning Boring Again: Best Practices for Using Machine Learning in Businesses - Albuquerque Machine Learning Meetup (Online) - Aug 2020
szilard
0
110
Better than Deep Learning: Gradient Boosting Machines (GBM) - eRum conference - invited talk - June 2020
szilard
0
100
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - LA Data Science Meetup - February 2020
szilard
0
97
Better than My Meetup/Conference Talks: Going Deeper in Various GBM Topics - GBM Advanced Workshop - Budapest, Nov 2019
szilard
0
62
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - Budapest BI Forum, Budapest, Nov 2019
szilard
0
140
Make Machine Learning Boring Again: Best Practices for Using Machine Learning in Businesses - LA Data Science Meetup - Playa Vista, August 2019
szilard
0
110
Better than Deep Learning: Gradient Boosting Machines (GBM) / 2019 edition - Budapest R and Data Science Meetups - Budapest, June 2019
szilard
0
86
Better than Deep Learning: Gradient Boosting Machines (GBM) / 2019 edition - LA R Meetup - Santa Monica, May 2019
szilard
0
22
Featured
See All Featured
Site-Speed That Sticks
csswizardry
4
470
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
53k
How To Stay Up To Date on Web Technology
chriscoyier
790
250k
Agile that works and the tools we love
rasmusluckow
328
21k
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.2k
Producing Creativity
orderedlist
PRO
344
40k
Scaling GitHub
holman
459
140k
Product Roadmaps are Hard
iamctodd
PRO
52
11k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
177
52k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
4
510
Become a Pro
speakerdeck
PRO
27
5.3k
Why Our Code Smells
bkeepers
PRO
336
57k
Transcript
A Random Walk in Data Science and Machine Learning in
Practice Szilard Pafka, PhD Chief Scientist, Epoch (USA) CEU, Business Analytics Masters Budapest, Febr 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
None
None
CRISP-DM, 1999
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
Better than Deep Learning: Gradient Boosting Machines (GBM) - 2019
Updated Edition Szilard Pafka, PhD Chief Scientist, Epoch (USA) Barcelona, Los Angeles, Budapest, Berlin (confs/meetups) 2019
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
None
None
None
None
None
Source: Hastie etal, ESL 2ed
Source: Hastie etal, ESL 2ed
Source: Hastie etal, ESL 2ed
Source: Hastie etal, ESL 2ed
None
None
None
None
None
None
10x
None
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
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
http://www.jmlr.org/papers/volume13/bergstra12a/bergstra12a.pdf
http://www.argmin.net/2016/06/20/hypertuning/
None
None
None
None
None
None
None
CPU 1
CPU 1 CPU 2
CPU 1 CPU 2
CPU 1 CPU 2
CPU 1 CPU 2
None
None
None
None
None
None
None
*
None
no-one is using this crap
(2018)
(2018)
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:
None
A Few More Thoughts
None
None
None
None
None
None
None
None
None
None
None
None
None