Machine Learning and Artificial Intelligence Books (Free Download in PDF)

AI and Machine Learning for Coders

by Laurence Moroney

From neural networks to natural language processing, learn to implement cutting-edge AI techniques in your projects.

Print length: 390 pages

Published: November 10, 2020

ISBN: 978-1492078197 (ISBN10: 1492078190)

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Scaling Python with Dask: From Data Science to Machine Learning

by Holden Karau, Mika Kimmins

Learn to parallelize computations, manage large datasets, and scale machine learning models effortlessly.

Print length: 223 pages

Published: August 22, 2023

ISBN: 978-1098119874 (ISBN10: 1098119878)

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Machine Learning Methods

by Hang Li

This textbook provides an in-depth exploration of advanced algorithms and techniques, offering practical insights and applications to elevate your machine learning expertise.

Print length: 547 pages

Published: December 6, 2023

ISBN: 978-9819939169 (ISBN10: 981993916X)

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Practical Machine Learning in JavaScript: TensorFlow.js for Web Developers

by Charlie Gerard

This textbook offers a comprehensive guide to applying machine learning techniques using JavaScript, including real-world examples and practical applications.

Print length: 340 pages

Published: November 17, 2020

ISBN: 978-1484264171 (ISBN10: 1484264177)

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GoLang for Machine Learning

by Evan Atkins

The book explores the integration of GoLang with machine learning, providing practical examples and techniques for building efficient ML applications.

Print length: 294 pages

Published: February 8, 2024

ISBN: 979-8879006308 (ISBN10: -)

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Machine Learning Applications. From Computer Vision to Robotics

by Indranath Chatterjee, Sheetal Zalte

This guide delves into AI advancements, covering practical uses in computer vision, robotics, and beyond, for diverse industries.

Print length: 240 pages

Published: December 27, 2023

ISBN: 978-1394173327 (ISBN10: 1394173326)

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Machine Learning and its Applications

by Peter Wlodarczak

This manual explores practical implementations of machine learning across various industries, offering case studies, techniques, and best practices.

Print length: 204 pages

Published: November 4, 2019

ISBN: 978-1138328228 (ISBN10: 1138328227)

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Data Labeling in Machine Learning with Python

by Vijaya Kumar Suda

The book provides a comprehensive guide to data labeling, featuring practical techniques, tools, and real-world examples for effective machine learning projects.

Print length: 398 pages

Published: January 31, 2024

ISBN: 978-1804610541 (ISBN10: 1804610542)

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Machine Learning in Microservices

by Mohamed Abouahmed, Omar Ahmed

This book presents practical techniques and real-world examples to effectively deploy and manage machine learning models in microservices environments

Print length: 270 pages

Published: March 10, 2023

ISBN: 978-1804617748 (ISBN10: 1804617741)

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Machine Learning with Python Cookbook

by Kyle Gallatin and Chris Albon

Textbook offers practical solutions and techniques for tackling real-world machine learning problems using Python.

Print length: 413 pages

Published: September 5, 2023

ISBN: 978-1098135720 (ISBN10: 1098135725)

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With each year, artificial intelligence (AI) firmly establishes its position in various spheres of life. This triggers increased interest in learning in this area, making it important to have access to quality sources of knowledge. The market offers a multitude of books on AI, but for effective learning, it's crucial to choose the best among them.

Best Artificial Intelligence Books

Selecting the right educational materials is considered key to a deep understanding of AI. Not all textbooks are equally useful, and many of them offer only a superficial acquaintance with the topic.

The best artificial intelligence books for beginners not only introduce the basics of technology but also guide through complex concepts, emphasizing the practical application of knowledge.

AI Books for Beginners in PDF

When choosing artificial intelligence books for beginners in PDF, consider your current level of knowledge and interests. Here are a few tips for selection:

Beginners should look for guides that offer a basic introduction to artificial intelligence, explaining fundamental principles and terminology.
Those who already have basic knowledge might prefer literature that deepens understanding of machine learning and neural networks.
Professionals might be interested in materials focusing on specific algorithms, training methodologies, and their practical application in development.
Theoretical enthusiasts should seek books covering the philosophical and ethical aspects of AI.

Self-education in the field of artificial intelligence and machine learning is considered an important step towards mastering one of the most promising areas of the modern age. Choosing quality educational materials will not only allow for a deeper understanding of AI but also teach how to apply the acquired knowledge in practice.

Thanks to the availability of artificial intelligence books in PDF, knowledge of the latest achievements and methods in AI and machine learning has become even more accessible to a wide range of readers.