Paperback Books

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow - 3rd Edition by Aurélien Géron (Paperback)

Artificial Intelligence - by Neil Wilkins (Paperback)

Programming Pytorch for Deep Learning - by Ian Pointer (Paperback)

Practical Machine Learning for Computer Vision - by Valliappa Lakshmanan & Martin Görner & Ryan Gillard (Paperback)

Grokking Deep Learning - by Andrew Trask (Paperback)

Inteligencia Artificial - by Neil Wilkins

Build a Career in Data Science - by Emily Robinson & Jacqueline Nolis (Paperback)

Perceptrons, Reissue of the 1988 Expanded Edition with a New Foreword by Léon Bottou - by Marvin Minsky & Seymour A Papert (Paperback)

Deep Learning with R - by Francois Chollet (Paperback)

Practical Deep Learning, 2nd Edition - by Ronald T Kneusel (Paperback)

Reliable Machine Learning - by Cathy Chen & Niall Richard Murphy & Kranti Parisa & D Sculley & Todd Underwood (Paperback)

Path Planning for Vehicles Operating in Uncertain 2D Environments - by Viacheslav Pshikhopov (Paperback)

Artificial Intelligence - by Neil Wilkins

Towards Neuromorphic Machine Intelligence - by Hong Qu & Xiaoling Luo & Zhang Yi (Paperback)

Machine Learning For Beginners - by Jonathan S Walker (Paperback)

Robótica - by Neil Wilkins

Generative AI with LangChain - by Ben Auffarth (Paperback)

Deep Learning with Pytorch - by Eli Stevens & Luca Antiga & Thomas Viehmann (Paperback)

Mastering PyTorch - Second Edition - 2nd Edition by Ashish Ranjan Jha (Paperback)

Generative AI Application Integration Patterns - by Juan Pablo Bustos & Luis Lopez Soria (Paperback)

Inteligencia artificial - by Neil Wilkins (Paperback)

Talking Nets - (Bradford Books) by James A Anderson & Edward Rosenfeld (Paperback)

Practical Fairness - by Aileen Nielsen (Paperback)

Building Neural Networks from Scratch with Python - by L D Knowings (Paperback)