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What Kaggle has learned from almost a million data scientists - Anthony Goldbloom (Kaggle)

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Kaggle is a community of almost a million data scientists, who have built more than two million machine-learning models while participating in Kaggle competitions. Data scientists come to Kaggle to learn, collaborate, and develop the state of the art in machine learning. Anthony Goldbloom shares lessons learned from top performers in the Kaggle community and explores the types of machine-learning techniques typically used, some of the tricks he’s seen, and pitfalls to avoid. Along the way, Anthony discusses work habits and skills that help data scientists succeed. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
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Text Comments (7)
FsimulatorX (10 months ago)
Applying machine learning to results from machine learning competitions
Muhammad Dauda (1 year ago)
I believe a deep understanding of data is by far the most important skill of a great data scientist.
rough rough (11 months ago)
thats basic you cant do any data analytics without understanding the data lol
Ravi Y (1 year ago)
Great.
Oleg Shalygin (1 year ago)
Short but sweet
Walter Reade (1 year ago)
We'd upload more models if kaggle would increase their daily submission limit. :-)
Prachi (1 year ago)
maybe they won't allow it as a winning algo could be developed by Individuals

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