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Published by Cambridge University Press, 2012
ISBN 10: 0521516889 ISBN 13: 9780521516884
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Published by Cambridge University Press, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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Published by Cambridge University Press, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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Published by Cambridge University Press, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Published by Cambridge University Press, 2012
ISBN 10: 052179725X ISBN 13: 9780521797252
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Published by Cambridge University Press, 2012
ISBN 10: 052179725X ISBN 13: 9780521797252
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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Published by Cambridge University Press, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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Published by Cambridge University Press, 2012
ISBN 10: 0521516889 ISBN 13: 9780521516884
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Published by Cambridge University Press, 2012
ISBN 10: 0521516889 ISBN 13: 9780521516884
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Published by Cambridge University Press, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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Published by Cambridge University Press, 2012
ISBN 10: 0521516889 ISBN 13: 9780521516884
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Published by Cambridge University Press, 2012
ISBN 10: 0521516889 ISBN 13: 9780521516884
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Published by Cambridge University Press, 2012
ISBN 10: 0521516889 ISBN 13: 9780521516884
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Published by Cambridge University Press, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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Published by Cambridge University Press, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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Published by Cambridge University Press, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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Published by Cambridge University Press, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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Published by Cambridge University Press, 2012
ISBN 10: 0521516889 ISBN 13: 9780521516884
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Condition: New. A systematic, unified treatment of orthogonal transform methods that guides the reader from mathematical theory to problem solving in practice. Num Pages: 590 pages, 191 b/w illus. 5 tables 117 exercises. BIC Classification: PBKF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 252 x 179 x 30. Weight in Grams: 1294. . 2012. Illustrated. hardcover. . . . .
Language: English
Published by Cambridge University Press, 2012
ISBN 10: 0521516889 ISBN 13: 9780521516884
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Published by Cambridge University Press, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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Published by Cambridge University Press, 2012
ISBN 10: 0521516889 ISBN 13: 9780521516884
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Published by Cambridge University Press, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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Published by Cambridge University Press, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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Published by Cambridge University Press, GB, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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Hardback. Condition: New. Emphasizing how and why machine learning algorithms work, this introductory textbook bridges the gap between the theoretical foundations of machine learning and its practical algorithmic and code-level implementation. Over 85 thorough worked examples, in both Matlab and Python, demonstrate how algorithms are implemented and applied whilst illustrating the end result. Over 75 end-of-chapter problems empower students to develop their own code to implement these algorithms, equipping them with hands-on experience. Matlab coding examples demonstrate how a mathematical idea is converted from equations to code, and provide a jumping off point for students, supported by in-depth coverage of essential mathematics including multivariable calculus, linear algebra, probability and statistics, numerical methods, and optimization. Accompanied online by instructor lecture slides, downloadable Python code and additional appendices, this is an excellent introduction to machine learning for senior undergraduate and graduate students in Engineering and Computer Science.
Language: English
Published by Cambridge University Press, 2012
ISBN 10: 0521516889 ISBN 13: 9780521516884
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. A systematic, unified treatment of orthogonal transform methods that guides the reader from mathematical theory to problem solving in practice. Num Pages: 590 pages, 191 b/w illus. 5 tables 117 exercises. BIC Classification: PBKF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 252 x 179 x 30. Weight in Grams: 1294. . 2012. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
Language: English
Published by Cambridge University Press CUP, 2012
ISBN 10: 0521516889 ISBN 13: 9780521516884
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. xxii + 568.
Language: English
Published by CAMBRIDGE UNIVERSITY PRESS, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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Hardcover. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Language: English
Published by Cambridge University Press, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
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Hardcover. Condition: Brand New. 568 pages. 10.25x7.00x1.25 inches. In Stock.
Language: English
Published by Cambridge University Press, GB, 2025
ISBN 10: 1316519503 ISBN 13: 9781316519509
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
£ 139.80
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Add to basketHardback. Condition: New. Emphasizing how and why machine learning algorithms work, this introductory textbook bridges the gap between the theoretical foundations of machine learning and its practical algorithmic and code-level implementation. Over 85 thorough worked examples, in both Matlab and Python, demonstrate how algorithms are implemented and applied whilst illustrating the end result. Over 75 end-of-chapter problems empower students to develop their own code to implement these algorithms, equipping them with hands-on experience. Matlab coding examples demonstrate how a mathematical idea is converted from equations to code, and provide a jumping off point for students, supported by in-depth coverage of essential mathematics including multivariable calculus, linear algebra, probability and statistics, numerical methods, and optimization. Accompanied online by instructor lecture slides, downloadable Python code and additional appendices, this is an excellent introduction to machine learning for senior undergraduate and graduate students in Engineering and Computer Science.