Artificial intelligence (AI) has made significant progress in recent years, with the emergence of large -language models (LLMS) marking an important step in its growth. With such a widespread adoption, the feeling left of this revolution is not uncommon. One way a person can stay up to date with the latest trends is to read books on various AI facets. Here are the best books that should be read in 2025.
Deep Learning (adaptive and automatic learning series)
This book covers a wide range of in -depth learning Subjects as well as their mathematical and conceptual context. It also provides information on the different in -depth learning techniques used in various industrial applications.
Python: Advanced guide to artificial intelligence
This book helps individuals to familiarize themselves with the most popular automatic learning algorithms (ML) and plunges into details of in -depth learning, covering subjects such as CNN, RNN, etc. It provides a complete understanding of the AI ​​advanced concepts while focusing on their practical implementation using Python.
Automatic learning (in python and r) for dummies
This book explains the fundamental principles of automatic learning by providing practical examples using Python and R. It is a guide adapted to beginners and a good starting point for new people in this area.
Automatic learning for beginners
Given the pace with which automatic learning systems are developing, this book offers a good basis for anyone traveling to this area. The author talks about the historical history of Machine Intelligence and provides beginners information on the operation of advanced algorithms.
Artificial intelligence: a modern approach
It is a well -acclaimed book that covers the extent of AI subjects, including problem solving, representation of knowledge, automatic learning and natural language treatment. It provides theoretical explanations as well as practical examples, which makes it an excellent starting point for anyone looking to dive into the world of AI.
Human compatible: artificial intelligence and control problem
The book discusses the inevitable conflict between humans and machines, providing an important context before pleading in favor of AI. The author also speaks of the possibility of superhuman AI and questions the concepts of human understanding and automatic learning.
The alignment problem: automatic learning and human values
This book talks about a concept entitled “The alignment problem”, where the systems we aim to teach, do not work as expected, and various ethical and existential risks emerge.
LIFE 3.0: Human being in the era of artificial intelligence
The author of this book talks about questions like what the future of AI will look like and the possibility that superhuman intelligence becomes our master. He also explains how we can make sure that these systems work without malfunction.
The upcoming wave: technology, power and the largest dilemma of the 21st century
This book warns against the risks that emerging technologies pose on the world order. It covers subjects such as robotics and models of large languages ​​and examines the forces that feed these innovations.
Artificial intelligence engines: an introduction of tutorial to mathematics of in -depth learning
The “engines of artificial intelligence” plunge into the mathematical foundations of in -depth learning. It provides a global understanding of in-depth learning, covering both the historical development of neural networks as well as modern techniques and architecture while focusing on underlying mathematical concepts.
In -depth neural networks and learning
This book covers the fundamental concepts of neural networks and in -depth learning. It also covers the mathematical aspects of the same thing, covering subjects such as linear algebra, probabilities theory and digital calculation.
Artificial intelligence for humans
This book explains how AI algorithms are used using real digital calculations. The book aims to target those without extended mathematical bottom and each unit is followed by examples in different programming languages.
Superpowers AI: China, Silicon Valley and the new world order
The author of this book explains the unexpected consequences of AI development. The book highlights competition between the United States and China compared to AI innovations through real events.
Hello world: human being in the era of algorithms
The author talks about the powers and limits of algorithms that are widely used today. The book prepares its readers for moral uncertainty of a world managed by code.
Master algorithm: how the quest for the ultimate learning machine is rebuilding our world
This book talks about the concept of “master algorithm”, which is a unique and global learning algorithm capable of incorporating different approaches.
Applied artificial intelligence: a manual for business leaders
“Applied artificial intelligence” provides a guide to companies on how to take advantage of AI to stimulate innovation and growth. It covers various AI applications and also explores its ethical considerations. In addition, it sheds light on the creation of AI teams and the acquisition of talents.
Superintelligence: paths, dangers, strategies
This book asks questions as if AI agents will save us or destroy us and what happens when the machines exceed humans in general intelligence. The author talks about the importance of global collaboration in the development of a safe AI.
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Shobha is a data analyst with a proven history of the development of innovative automatic learning solutions that stimulate commercial value.
