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10 Pitfalls in Data Science - LA Data Science Meetup Kick-Off - Feb 2014
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szilard
March 18, 2014
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10 Pitfalls in Data Science - LA Data Science Meetup Kick-Off - Feb 2014
szilard
March 18, 2014
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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