Paperback Books

Why Machines Learn - by Anil Ananthaswamy

Programming Computer Vision with Python - by Jan Erik Solem (Paperback)

Generative Deep Learning - 2nd Edition by David Foster (Paperback)

Adobe Indesign Interactive Digital Publishing - by Ted Padova (Paperback)

Cost-Effective Graphic Solutions for Small Businesses - (Apress Pocket Guides) by Phillip Whitt (Paperback)

Learning Opencv - by Gary Bradski & Adrian Kaehler (Paperback)

Transformers for Natural Language Processing and Computer Vision - Third Edition - 3rd Edition by Denis Rothman (Paperback)

Building Machine Learning Powered Applications - by Emmanuel Ameisen (Paperback)

Machine Learning for Biomedical Applications - by Maria Deprez & Emma C Robinson (Paperback)

Riemannian Geometric Statistics in Medical Image Analysis - by Xavier Pennec & Stefan Sommer & Tom Fletcher (Paperback)

Generative AI with LangChain - Second Edition - 2nd Edition by Ben Auffarth & Leonid Kuligin (Paperback)

Deep Learning - by Rob Botwright (Paperback)

Leer Escribir Poseer - by Chris Dixon (Paperback)

How AI Thinks - by Nigel Toon (Paperback)

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

The Perception Machine - by Joanna Zylinska (Paperback)

Neural Network Programming - by Rob Botwright (Paperback)

Face Detection and Recognition on Mobile Devices - by Haowei Liu (Paperback)

Learning-Based Local Visual Representation and Indexing - (Computer Science Reviews and Trends) (Paperback)

Advanced Methods and Deep Learning in Computer Vision - (Computer Vision and Pattern Recognition) by E R Davies & Matthew Turk (Paperback)

Practical Deep Learning for Cloud, Mobile, and Edge - by Anirudh Koul & Siddha Ganju & Meher Kasam (Paperback)

Quantitative Magnetic Resonance Imaging - (Advances in Magnetic Resonance Technology and Applications) (Paperback)

Dynamic ChatGPT - by Ron Clark & M S B Kim M Clark (Paperback)

Openvx Programming Guide - by Frank Brill & Victor Erukhimov & Radhakrishna Giduthuri & Steve Ramm (Paperback)