deep learning practitioners approach

Machine Learning for Kids - by Dale Lane (Paperback)

Scaling Machine Learning with Spark - by Adi Polak (Paperback)

Information Management: A Strategic Approach - by Douglas Schwartz (Hardcover)

Machine Learning System Design - by Valerii Babushkin & Arseny Kravchenko (Paperback)

Learning eBPF - by Liz Rice (Paperback)

Artificial Intelligence and Machine Learning for Women's Health Issues - by Meenu Gupta & D Jude Hemanth (Paperback)

Machine Learning in Production - by Christian Kastner (Hardcover)

Machine Learning Production Systems - by Robert Crowe & Hannes Hapke & Emily Caveness & Di Zhu (Paperback)

2024 Yearbook Emerging Technologies in Learning - (Learning and Analytics in Intelligent Systems) by Michael E Auer & Dominik May (Hardcover)

Learn Haskell by Example - (Bookcamp) by Philipp Hagenlocher (Paperback)

Learning SAS by Example - by Ron Cody (Paperback)

Machine Learning Pocket Reference - by Matt Harrison (Paperback)

Embedded Machine Learning with Microcontrollers - by Cem Ünsalan & Berkan Höke & Eren Atmaca (Hardcover)

Learning Github Copilot - by Brent Laster (Paperback)

Regenerating Learning - (Design Thinking) by Patrick Parra Pennefather (Paperback)

Learning Digital Identity - by Phillip J Windley (Paperback)

AI and Machine Learning for On-Device Development - by Laurence Moroney (Paperback)

Learning Algorithms - by George Heineman (Paperback)

Machine Learning Theory and Applications - by Xavier Vasques (Hardcover)

Machine Learning Engineering - by Andriy Burkov (Paperback)

Learn Cocoa on the Mac - (Books for Professionals by Professionals) by David Mark & Jeff LaMarche & Jack Nutting (Paperback)

Learning the bash Shell - 3rd Edition by Cameron Newham (Paperback)

Machine Learning Engineering with Python - Second Edition - 2nd Edition by Andrew McMahon (Paperback)

Microwave and RF Engineering- A Simulation Approach with Keysight Genesys Software - by Ali A Behagi (Hardcover)