Language: English
Published by Wellesley-Cambridge Press, 2019
ISBN 10: 0692196382 ISBN 13: 9780692196380
Seller: UK BOOKS STORE, London, LONDO, United Kingdom
US$ 69.00
Quantity: 10 available
Add to basketHardcover. Condition: Used books. Used Books ! Fast Delivery "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 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Language: English
Published by Wellesley-Cambridge Press, 2019
ISBN 10: 0692196382 ISBN 13: 9780692196380
Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Language: English
Published by Wellesley-Cambridge Press, 2019
ISBN 10: 0692196382 ISBN 13: 9780692196380
Seller: Indiana Book Company, Marion, IN, U.S.A.
Condition: New. Ships same or next business day with delivery confirmation. Brand New. Expedited shipping available.
Language: English
Published by Cambridge University Pr. Jan 2019, 2019
ISBN 10: 0692196382 ISBN 13: 9780692196380
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. Neuware -Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation. 446 pp. Englisch.
Language: English
Published by Wellesley-Cambridge Press, 2019
ISBN 10: 0692196382 ISBN 13: 9780692196380
Seller: CollegePoint, Inc, Jamestown, TN, U.S.A.
First Edition
Hardcover. Condition: Good. 1st Edition. We only honor returns for quality issues and won't accept reasons such as 'change my mind', 'find a better price', or 'school book requirement change', etc.
Language: English
Published by Cambridge University Press, 2019
ISBN 10: 0692196382 ISBN 13: 9780692196380
Seller: moluna, Greven, Germany
Gebunden. Condition: New. Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together wi.
Language: English
Published by Cambridge University Press, 2019
ISBN 10: 0692196382 ISBN 13: 9780692196380
Seller: Revaluation Books, Exeter, United Kingdom
US$ 142.13
Quantity: 1 available
Add to basketHardcover. Condition: Brand New. 446 pages. 9.53x7.48x1.14 inches. In Stock.
Language: English
Published by Cambridge University Pr., 2019
ISBN 10: 0692196382 ISBN 13: 9780692196380
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Linear Algebra and Learning from Data | Gilbert Strang | Buch | Gebunden | Englisch | 2019 | Cambridge University Pr. | EAN 9780692196380 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Language: English
Published by Cambridge University Pr. Jan 2019, 2019
ISBN 10: 0692196382 ISBN 13: 9780692196380
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Neuware - Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.