Top Artificial Intelligence AI Books to Read in 2025

AI (AI) has made great steps over the past few years, with LLMS models appearing a large milestone in its growth. With this adoption on a large scale, feeling out of this revolution is not uncommon. One of the ways that the individual can remain in constant knowledge of the latest trends is to read books on different aspects of artificial intelligence. Here are the best artificial intelligence books that one must read in 2025.

Deep learning (calculation and machine learning chain)

This book covers a wide range of deep learning topics along with its sporting and conceptual background. It also provides information on the various deep learning techniques used in various industrial applications.

Bethon: An advanced guide to artificial intelligence

This book helps individuals to identify the most popular ML (ML) algorithms and turns into deep learning details, covers topics such as CNN, RNN, etc., it provides a comprehensive understanding of advanced artificial intelligence concepts with a focus on their practical implementation using Python.

Automated learning (in Python and R) for dolls

This book explains the basics of machine learning by providing practical examples using Python and R. It is a friendly guide for beginners and a good starting point for new people in this field.

Automated learning for beginners

Given the speed of the growth of automated learning systems, this book provides a good base for anyone who turns into this field. The author talks about the historical background of the intelligence machine and provides beginners information about how advanced algorithms work.

Artificial intelligence: a modern approach

This is a good scene book that covers the scope of artificial intelligence topics, including problem solving, knowledge representation, machine learning, and natural language processing. It provides theoretical interpretations along with practical examples, making it an excellent starting point for anyone looking to dive into the world of artificial intelligence.

Compatible with man: artificial intelligence and the problem of control

The book discusses the inevitable conflict between humans and machines, and provides an important context before we defend artificial intelligence. The author also talks about the possibility of supernatural intelligence and wonders about the concepts of human understanding and machine learning.

The alignment problem: machine learning and human values

This book talks about a concept called “the problem of alignment”, as the systems that we aim to teach do not lead as expected, and show different moral and existential risks.

Life 3.0: To be a human being in the era of artificial intelligence

The author of this book talks about questions such as how the future of artificial intelligence and the possibility of becoming a supernatural intelligence for the human being will be our master. He also talks about how to ensure the performance of these systems without malfunction.

Next wave: technology, strength, and the greatest dilemma of the twenty -first century in the twenty -first century

This book warns of the risks posed by the emerging technologies of the world order. It covers topics such as robots and large language models and examines the forces that feed these innovations.

Artificial intelligence engines: an educational introduction to deep learning mathematics

Artificial intelligence engines dive into the sporting foundations of deep learning. It provides a complete understanding of deep learning, covering both the historical development of nerve networks as well as modern technologies and architecture with a focus on basic mathematical concepts.

Nervous networks and deep learning

This book covers the basic concepts of nerve networks and deep learning. It also covers the sporting aspects of itself, and covers topics such as linear algebra, the theory of possibilities, and numerical account.

Human artificial intelligence

This book explains how artificial intelligence algorithms are used using actual digital accounts. The book aims to target those who do not have a large -scale sporting background and follow each unit in different programming languages.

Great powers AI: China, Silicon Valley, and the new world order

The author of this book explains the unexpected consequences for developing artificial intelligence. The book highlights the competition between the United States of America and China due to the innovations of artificial intelligence through actual events.

Hello world: To be a human being in the era of algorithms

The author talks about the powers and restrictions of algorithms that are widely used today. The book is their readers for the ethical uncertainty of a world that is managed by a symbol.

The main algorithm: How will the search for the final learning machine reshape our world

This book talks about the concept of “main algorithm”, which is one comprehensive educational algorithm capable of combining different methods.

Applied Artificial Intelligence: Business leaders

“Applied Applied Intelligence” provides a guide for companies on how to take advantage of artificial intelligence to push innovation and growth. It covers many artificial intelligence applications and also explores its moral considerations. In addition, the construction of artificial intelligence difference and talent acquisition.

Superintligence: Paths, Risks and Strategies

This book asks questions like whether artificial intelligence agents will save us or destroy us and what happens when human machines exceed public intelligence. The author talks about the importance of global cooperation in developing safe artificial intelligence.

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