Best Artificial Intelligence & Semantics Books of 2025

The ChatGPT Millionaire is a comprehensive guide on how to make money online using artificial intelligence. The book provides step-by-step instructions on how to create passive income sources, impress customers with high-quality work, and research and promote engaging content. It also includes access to 150+ powerful "Act as" prompts that'll ensure you can use ChatGPT quickly and easily for whatever you need. The book is an excellent resource for individuals who want to leverage AI to make money online. Overall, this is an excellent book that provides valuable insights into the world of AI and its potential to help people make money online easily and quickly.

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is a must-read for anyone interested in machine learning. This book provides a comprehensive overview of the concepts and techniques required to build intelligent systems. The author, Aurelien Geron, uses Python frameworks such as scikit-learn, Keras, and TensorFlow to explain everything from simple linear regression to deep neural networks. The book includes numerous code examples and exercises that help readers apply what they've learned. The updated third edition covers new topics such as generative adversarial networks and deep reinforcement learning. Overall, this book is an excellent resource for anyone looking to learn machine learning from scratch or deepen their knowledge in the field.

Gödel, Escher, Bach: An Eternal Golden Braid is a Pulitzer Prize-winning book that explores the links between formal systems, human thought, creativity, and the prospects for computers and artificial intelligence. The author, Douglas Hofstadter, achieves the feat of making abstruse mathematical topics easy to understand and entertaining. The book is a fascinating exploration of the heart of cognitive science that delves into serious number theory while centering on Bach's music and Escher's paradoxical artwork. This book is a must-read for those interested in mathematics history books and the future of computers.

This book offers a comprehensive approach to designing machine learning systems that are reliable, maintainable, and adaptable to changing environments and business requirements. The author, Chip Huyen, provides a holistic framework backed by case studies and references, covering topics such as automating the development process, monitoring systems, and responsible ML systems. The book is praised for its relevance and effectiveness by industry experts, including Laurence Moroney, AI and ML Lead at Google. Overall, Designing Machine Learning Systems is an essential resource for those serious about implementing ML systems in production.

Superintelligence: Paths, Dangers, Strategies is a thought-provoking book that delves into the future of humanity and intelligent life. Nick Bostrom raises important questions about the consequences of machines surpassing human intelligence and whether they will save or destroy us. The author's interdisciplinary approach, combining knowledge from engineering, natural sciences, medicine, social sciences, and philosophy, provides a comprehensive analysis of the subject. The book is a New York Times bestseller and highly recommended by Bill Gates. Overall, Superintelligence is a groundbreaking and ambitious work that offers a reconceptualization of the essential task of our time.

The book "Deep Learning" is a comprehensive guide to the mathematical and conceptual background of deep learning, including techniques used in industry and research perspectives. It covers a broad range of topics such as linear algebra, probability theory, numerical computation, machine learning, and more. The book also offers research perspectives, covering theoretical topics such as autoencoders, Monte Carlo methods, and deep generative models. This book is a valuable resource for both undergraduate and graduate students planning careers in industry or research, as well as software engineers who want to begin using deep learning in their products or platforms.

Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark is a thought-provoking book that explores the recent advances in AI and how it will impact society, jobs, and our very sense of humanity. Tegmark, an MIT professor, provides a comprehensive and scientific approach to the subject, offering a baseline of knowledge on AI. He raises important questions about the future of AI and how we can ensure it remains beneficial to humanity. This book is a must-read for anyone interested in the future of technology and its impact on our lives.

If you're looking to increase your productivity with ChatGPT, "ChatGPT Book for Beginners" by Arsath Natheem is the ultimate guide you need. This beginner-friendly book covers everything from accessing the OpenAI API to optimizing productivity with automated content creation, making it a must-read for students, professionals, and entrepreneurs alike. With real-world examples and a focus on fine-tuning models for specific tasks, this book is a game-changer in the world of conversational AI. Overall, "ChatGPT Book for Beginners" provides a comprehensive and unique approach to using ChatGPT effectively, making it a valuable addition to any artificial intelligence and semantics book collection.

The Big Nine by Amy Webb is a wake-up call about the broken nature of artificial intelligence, and the powerful corporations that are turning the human-machine relationship on its head. The book highlights how the everyday people whose data powers AI aren't actually in control of anything. The big nine corporations are the new gods of AI and are short-changing our futures to reap immediate financial gain. Webb provides a strategy for changing course, and liberating us from algorithmic decision-makers and powerful corporations. This book is a must-read for anyone interested in the future of AI and its impact on humanity.

The AI Classroom is an ultimate guide for educators to navigate the complexities of AI in education. This book provides practical strategies and over 20 AI tools to help teachers personalize learning, reach more students, and save time. The book explores the potential of AI to transform traditional models of teaching and learning, creating inclusive and accessible learning environments. This comprehensive guide is a great way to learn and understand all about the future of AI in the classroom. The AI Classroom is a must-read for educators who want to embrace the transformative power of artificial intelligence and take their craft to the next level.