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Cambridge University Press. New. Very Good. Very Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported

Paperback. Very Good.

Cambridge University Press, 2022. First Edition. Hardcover. Like New. 7x0x10. Hardback book in nearly new condition: firm and square with strong joints. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price.

hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.

Hardback. New. This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is suitable for advanced BSc or MSc courses. It covers theory and practice of basic and advanced methods such as deep learning, Gaussian processes, random forests, support vector machines and boosting.

Hardback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is suitable for advanced BSc or MSc courses. It covers theory and practice of basic and advan

Cambridge Univ Pr, 2022. Hardcover. New. 325 pages. 10.20x7.20x0.80 inches.

Original Hardcover. Publisher: Cambridge University Press | Utg. 2022 | Original Hardcover | 338 p. | This book is brand new. | Language: Engelska --- Information regarding the book: This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is suitable for advanced BSc or MSc courses. It covers theory and practice of basic and advanced methods such as deep learning, Gaussian processes, random forests, support vector machines and boosting. | We have this book in our store house - please allow for a couple of extra days for delivery.