Artificial Intelligence (Width 242 mm)
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Width 242 mm
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EBook Handbook Textbook Workbook Audiobook Hardcover Monograph Paperback Lab manual Study guide First edition Packt edition Third edition Wiley edition Fourth edition Second edition Companion guide Library edition Pearson edition Revised edition Critical edition Elsevier edition O'Reilly edition Reference manual Springer edition Annotated edition CRC Press edition MIT Press edition Collector's edition Illustrated edition Large print edition McGraw-Hill edition Addison-Wesley edition Penguin Classics edition Taylor & Francis edition Harvard University Press edition Cambridge University Press edition
(9781681984124) - Dimensions: 178 x 231 x 20.32mm | 952.54g - Format: 456 pages - ISBN: 9781681984124 - Languages: English - Santa Barbara, United States - Rocky Nook
(9781590596128) - Dimensions: 180.3 x 236.2 x 20.3mm | 544.32g - Format: 194 pages - ISBN: 9781590596128 - Languages: English - Berkley, United States - aPress | Flickr' s photo
(9781787390676) - Height: 231 mm - Spine width: 20 mm - Width: 279 mm - Carlton Books - Carlton Publishing Group - ISBN: 9781787390676 - Number of pages: 208 - Languages: English - Weight: 918 g
(9780241242636) - Country of publication: UNITED KINGDOM - Dimensions: (H) 244mm, (W) 163mm, (D) 37mm - Format: Hardback | 432 pages - Height: 241mm - Spine width: 41mm - Width: 164mm - Allen Lane - x, 418
(9781781574553) - Dimensions: 258 x 234 x 12 mm - Format: 192 pages - Ilex - Lewes, United Kingdom - Octopus Publishing Group - ISBN: 9781781574553 - Number of pages: 192 - Languages: English - Weight: 1 g | Photographer' s Eye
John Wiley & Sons Inc (9781119131946)
(9780316020749)
KLO80 (9781422157992) | Reads on Managing Yourself
This book provides an in-depth exploration of the potential risks and rewards of artificial intelligence, offering strategies for how to navigate this rapidly evolving field. Get your copy today to stay informed on the latest developments in AI!
Explore the practical applications of deep learning with Francois Chollet's "Deep Learning with Python." This comprehensive guide offers hands-on techniques and insights into building neural networks using Keras.
