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
330
0
Share
A Random Walk in Data Science and Machine Learning in Practice - CEU, Business Analytics Masters - Budapest, Febr 2020
szilard
February 12, 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
szilard
0
220
Make Machine Learning Boring Again: Best Practices for Using Machine Learning in Businesses - Albuquerque Machine Learning Meetup (Online) - Aug 2020
szilard
0
160
Better than Deep Learning: Gradient Boosting Machines (GBM) - eRum conference - invited talk - June 2020
szilard
0
140
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - LA Data Science Meetup - February 2020
szilard
0
140
Better than My Meetup/Conference Talks: Going Deeper in Various GBM Topics - GBM Advanced Workshop - Budapest, Nov 2019
szilard
0
110
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - Budapest BI Forum, Budapest, Nov 2019
szilard
0
160
Make Machine Learning Boring Again: Best Practices for Using Machine Learning in Businesses - LA Data Science Meetup - Playa Vista, August 2019
szilard
0
150
Better than Deep Learning: Gradient Boosting Machines (GBM) / 2019 edition - Budapest R and Data Science Meetups - Budapest, June 2019
szilard
0
130
Better than Deep Learning: Gradient Boosting Machines (GBM) / 2019 edition - LA R Meetup - Santa Monica, May 2019
szilard
0
37
Featured
See All Featured
Building a Scalable Design System with Sketch
lauravandoore
463
34k
First, design no harm
axbom
PRO
2
1.2k
Designing Powerful Visuals for Engaging Learning
tmiket
1
320
Color Theory Basics | Prateek | Gurzu
gurzu
0
280
Six Lessons from altMBA
skipperchong
29
4.2k
Building Applications with DynamoDB
mza
96
7k
コードの90%をAIが書く世界で何が待っているのか / What awaits us in a world where 90% of the code is written by AI
rkaga
61
43k
DevOps and Value Stream Thinking: Enabling flow, efficiency and business value
helenjbeal
1
160
Breaking role norms: Why Content Design is so much more than writing copy - Taylor Woolridge
uxyall
0
240
Fireside Chat
paigeccino
42
3.9k
Bash Introduction
62gerente
615
210k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.4k
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