"This book provides a detailed and up-to-date coverage of machine learning. It is unique in that it unifies approaches based on deep learning with approaches based on probabilistic modeling and inference. It provides mathematical background (e.g. linear algebra, optimization), basic topics (e.g., linear and logistic regression, deep neural networks), as well as more advanced topics (e.g., Gaussian processes). It provides a perfect introduction for people who want to understand cutting edge work in top machine learning ...
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"This book provides a detailed and up-to-date coverage of machine learning. It is unique in that it unifies approaches based on deep learning with approaches based on probabilistic modeling and inference. It provides mathematical background (e.g. linear algebra, optimization), basic topics (e.g., linear and logistic regression, deep neural networks), as well as more advanced topics (e.g., Gaussian processes). It provides a perfect introduction for people who want to understand cutting edge work in top machine learning conferences such as NeurIPS, ICML and ICLR"--
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Add this copy of Probabilistic Machine Learning: an Introduction to cart. $62.47, very good condition, Sold by spellbound rated 5.0 out of 5 stars, ships from McKeesport, PA, UNITED STATES, published 2022 by The MIT Press.
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Very Good. Size: 8x1x9; Very Good Condition and Unread! Text is clean and unmarked! Light shelf wear to cover from storage. Has a small black line or red dot on bottom/exterior edge of pages.
Add this copy of Probabilistic Machine Learning: an Introduction to cart. $64.87, very good condition, Sold by BooksRun rated 5.0 out of 5 stars, ships from Philadelphia, PA, UNITED STATES, published 2022 by The MIT Press.
Add this copy of Probabilistic Machine Learning: an Introduction to cart. $64.87, fair condition, Sold by BooksRun rated 5.0 out of 5 stars, ships from Philadelphia, PA, UNITED STATES, published 2022 by The MIT Press.
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This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
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Good. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Fine. Sewn binding. Cloth over boards. 864 p. Adaptive Computation and Machine Learning. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Probabilistic Machine Learning: an Introduction to cart. $123.22, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2022 by The MIT Press.