This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work.
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Chris Albon is data scientist with a Ph.D. in quantitative political science and a decade of experience working in statistical learning, artificial intelligence, and software engineering. He founded New Knowledge, an artificial intelligence company, and previously worked for the crisis and humanitarian non-profit, Ushahidi. Chris also founded and co-hosts of the data science podcast, Partially Derivative.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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