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Applied Machine Learning and AI for Engineers - by Jeff Prosise (Paperback)

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

Algorithms for the People - by Josh Simons (Paperback)

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Data Algorithms with Spark - by Mahmoud Parsian (Paperback)

The Hundred-Page Machine Learning Book - by Andriy Burkov (Paperback)

3D Data Science with Python - by Florent Poux (Paperback)

Learning Github Copilot - by Brent Laster (Paperback)

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Llms and Generative AI for Healthcare - by Kerrie Holley & Manish Mathur (Paperback)

Scaling Graph Learning for the Enterprise - by Ahmed Menshawy & Sameh Mohamed & Maraim Rizk Masoud (Paperback)

Building Machine Learning Systems with a Feature Store - by Jim Dowling (Paperback)

Artificial Intelligence, Machine Learning, and Deep Learning - by Oswald Campesato (Paperback)

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Introduction to Machine Learning Systems - by Vijay Janapa Reddi (Hardcover)

The Expanding World of Data - (Very Short Introduction for Curious Youn) by Tom Jackson (Hardcover)

Introduction to Statistical Machine Learning - by Masashi Sugiyama (Paperback)

Reinforcement Learning for Finance - by Yves Hilpisch (Paperback)

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Machine Learning Design Patterns - by Valliappa Lakshmanan & Sara Robinson & Michael Munn (Paperback)

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Essential Math for Data Science - by Thomas Nield (Paperback)

The Essential Book of AI - (Sirius Concepts) by Anne Rooney (Hardcover)

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