This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Paperback. Etat : Good. This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. N° de réf. du vendeur 00104085106
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Vendeur : World of Books Inc, Montgomery, IL, Etats-Unis
Paperback. Etat : Good. This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. N° de réf. du vendeur CIN1491989386G
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paperback. Etat : Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind. N° de réf. du vendeur rev6101880290
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Vendeur : HPB Inc., Dallas, TX, Etats-Unis
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Paperback. Etat : Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_470643936
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