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
10 Pitfalls in Data Science - LA Data Science M...
Search
szilard
March 18, 2014
0
170
10 Pitfalls in Data Science - LA Data Science Meetup Kick-Off - Feb 2014
szilard
March 18, 2014
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
200
Make Machine Learning Boring Again: Best Practices for Using Machine Learning in Businesses - Albuquerque Machine Learning Meetup (Online) - Aug 2020
szilard
0
150
Better than Deep Learning: Gradient Boosting Machines (GBM) - eRum conference - invited talk - June 2020
szilard
0
130
Gradient Boosting Machines (GBM): From Zero to Hero (with R and Python Code) - LA Data Science Meetup - February 2020
szilard
0
120
A Random Walk in Data Science and Machine Learning in Practice - CEU, Business Analytics Masters - Budapest, Febr 2020
szilard
0
310
Better than My Meetup/Conference Talks: Going Deeper in Various GBM Topics - GBM Advanced Workshop - Budapest, Nov 2019
szilard
0
91
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
100
Featured
See All Featured
Believing is Seeing
oripsolob
0
16
Imperfection Machines: The Place of Print at Facebook
scottboms
269
13k
Testing 201, or: Great Expectations
jmmastey
46
7.8k
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
1
590
Building Experiences: Design Systems, User Experience, and Full Site Editing
marktimemedia
0
340
世界の人気アプリ100個を分析して見えたペイウォール設計の心得
akihiro_kokubo
PRO
65
35k
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
10
760
Lightning Talk: Beautiful Slides for Beginners
inesmontani
PRO
1
410
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
minecr
0
93
End of SEO as We Know It (SMX Advanced Version)
ipullrank
2
3.8k
Agile that works and the tools we love
rasmusluckow
331
21k
Self-Hosted WebAssembly Runtime for Runtime-Neutral Checkpoint/Restore in Edge–Cloud Continuum
chikuwait
0
240
Transcript
10 Pitfalls in Data Science Szilárd Pafka, PhD Chief Scientist,
Epoch LA Machine Learning Meetup Data Science Track Feb 2014
About me
Data Science
(Some) Pitfalls • DS = IT project • DS isolated
from business • Restricted access to data • Not enough EDA/cleaning • Data leakage • Overfitting • Optimizing wrong metric • Skip model validation • Too complex to deploy • Poor communication
Contact [email removed from slideshare] www.linkedin.com/in/szilard