Artificial Intelligence (AI) has made significant progress in the last few years, with the emergence of large language models (LLMs) that mark an important milestone in its growth. With such widespread adoption, it is not uncommon to feel out of this revolution. One way that a person can remain up to date with the latest trends is by reading books on different facets of AI. The following are the top AI books to read in 2025.
Deep Learning (Adaptive Computation and Machine Learning Series)
This book covers a wide range of deep learning topics along with their mathematical and conceptual background. It also provides information about the different deep learning techniques used in different industrial applications.
Python: Advanced Guide to Artificial Intelligence
This book helps individuals familiar with the most popular machine learning (ML) algorithms and covers the details of deep learning that covers topics such as CNN, RNN, etc. It provides an extensive understanding of advanced AI concepts while focusing on their practical implementation using Python.
Machine learning (in python and r) for dummies
This book explains the basic elements of machine learning by providing practical examples using Python and R. It is a beginner -friendly guide and a good starting point for people who are new in this field.
Machine learning for beginners
Given the pace on which machine learning systems grow, this book gives a good base for anyone who switches to this field. The author talks about Machine Intelligence’s historical background and gives beginners information about how advanced algorithms work.
Artificial Intelligence: A modern approach
This is a well-recognized book that covers the breadth of AI items, including problem solving, knowledge representation, machine learning and natural language processing. It provides theoretical explanations along with practical examples, making it an excellent starting point for anyone who wants to dive into AI’s world.
Human compatible: Artificial intelligence and control problem
The book discusses the inevitable conflict between people and machines, giving an important context before we advocate for AI. The author also talks about the possibility of superhuman AI and questions the concepts of human understanding and machine learning.
The adjustment problem: Machine learning and human values
This book speaks of a concept called the “adjustment problem” in which the systems we aim to teach do not perform as expected, and different ethical and existential risks arise.
Life 3.0: Being human at the age of artificial intelligence
The author of this book talks about questions such as what the future of AI will look like, and the possibility of superhuman intelligence becoming our Lord. He also talks about how we can ensure that these systems work without malfunctions.
The coming wave: Technology, Power and the 21st century’s greatest dilemma
This book warns of the risks that new technologies pose to global order. It covers topics such as robotics and large language models and examines the forces that burn these innovations.
Artificial Intelligence Motors: A tutorial introduction to the mathematics of deep learning
“Artificial intelligence engines” dive into the mathematical foundations of deep learning. It provides a holistic understanding of deep learning that covers both the historical development of neural networks as well as modern techniques and architecture, while focusing on the underlying mathematical concepts.
Neural networks and deep learning
This book covers the basic concepts of neural networks and deep learning. It also covers the mathematical aspects of the same that covers topics such as linear algebra, probability theory and numeric calculation.
Artificial intelligence for people
This book explains how AI algorithms are used using actual numeric calculations. The book aims to target them without a comprehensive mathematical background, and each device is followed by examples of different programming languages.
AI -Superpowers: China, Silicon Valley and the New World Order
The author of this book explains the unexpected consequences of AI development. The book sheds light on the US -China competition on AI innovations through actual events.
Hello world: to be human in the age of the algorithms
The author talks about the forces and limitations of the algorithms that are widely used today. The book prepares its readers for the moral uncertainties of a world driven by code.
Masteralgorithm: How the search for the ultimate learning machine will re -record our world
This book talks about the concept of “Masteralgorithm”, which is a single, overall learning algorithm capable of incorporating different approaches.
Applied artificial intelligence: a handbook for business leaders
“Applied Artificial Intelligence” provides a guide to companies on how to utilize AI to drive innovation and growth. It covers different uses of AI and also explores its ethical considerations. In addition, it sheds light on building AI teams and talent purchases.
Superintelligence: paths, dangers, strategies
This book asks questions as if AI agents will save or destroy us, and what happens when machines surpass people in general intelligence. The author talks about the importance of global cooperation on the development of Safe AI.
We earn a small profit from purchases made via Referral/associated links attached to each book mentioned on the above list.
If you want to suggest any book that we missed this list then mail us on asif@marktechpost.com
Shobha is a data analyst with a documented track record to develop innovative machine learning solutions that operate business value.