The Kaggle Book, 2nd edition, a guide to data science competitions
Overview
A second edition of The Kaggle Book is promoted as a guide to data science competitions, with a table of contents covering Kaggle notebooks, datasets, discussion forums, validation schemes, hyperparameter optimization, ensembling, and image classification and segmentation.
A reviewer on Amazon describes it as about 700 pages, including about 500 pages on modeling techniques and evaluation metrics, and says it helps readers build a Kaggler portfolio. The source for these details is the book's promotion and one Amazon review; no independent evaluation is reported.
Written by AI from the articles below · updated Nov 9, 4:24 PM ET
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Kirk Borne@KirkDBorneXThe Kaggle Book, 2nd edition, is a guide to data science competitionsAIA 2nd edition of The Kaggle Book is promoted, with a table of contents covering Kaggle notebooks, datasets, discussion forums, validation schemes, hyperparameter optimization, ensembling, and image classification and segmentation. A reviewer on Amazon calls it a roughly 700-page resource for Kaggle competitions, including about 500 pages on modeling techniques and evaluation metrics, and says it also helps with building a Kaggler portfolio.

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