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Why Machines Learn - by Anil Ananthaswamy

Nexus - by Yuval Noah Harari (Hardcover)

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

Graphics Recognition: Algorithms and Systems - (Lecture Notes in Computer Science) by Karl Tombre & Atul K Chhabra (Paperback)

Leer Escribir Poseer - by Chris Dixon (Paperback)

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

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

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

Vision Language Models - by Merve Noyan & Andrés Marafioti & Miquel Farré & Orr Zohar (Paperback)

Bridging the Geographic Information Sciences - (Lecture Notes in Geoinformation and Cartography) (Hardcover)

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

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

The Perception Machine - by Joanna Zylinska (Paperback)

Deep Learning for 3D Point Clouds - by Wei Gao & Ge Li (Hardcover)

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

Artificial Intelligence, Art and Indigeneity - (Understanding Languages, Cultures and Societies) by Thea Pitman & Sandra de Berduccy & Andreas Rauh

Demystifying Prompt Engineering - by Harish Bhat (Hardcover)

Deep Learning - by Weidong Kuang (Hardcover)

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

The Deep Learning Revolution - by Terrence Sejnowski (Paperback)