The impact of Artificial Intelligence (AI) has been steadily growing, which has led to the development of Large Language Models (LLMs). Engaging with AI literature is a good way to keep up with its advancements. Here are the top AI books to read in 2024:
1. “Deep Learning (Adaptive Computation and Machine Learning series)”: This book covers many deep learning topics and their industrial applications.
2. “Python: Advanced Guide to Artificial Intelligence”: Readers can familiarize themselves with popular machine learning (ML) algorithms and develop an understanding of advanced AI concepts by reading this book.
3. “Machine Learning (in Python and R) for Dummies”: An elementary guide for beginners, the book provides examples using Python and R.
4. “Machine Learning for Beginners”: The author discusses the history of machine intelligence and provides fundamental information on how advanced algorithms work.
5. “Artificial Intelligence: A Modern Approach”: This acclaimed book covers a range of AI topics, and provides practical examples for readers.
6. “Human Compatible: Artificial Intelligence and the Problem of Control”: The author examines the tension between humans and machines, the potential of superhuman AI, and the concepts of human comprehension and machine learning.
7. “The Alignment Problem: Machine Learning and Human Values”: This book delves into the “Alignment Problem,” where algorithms don’t perform as expected, leading to ethical and existential risks.
8. “Life 3.0: Being Human in the Age of Artificial Intelligence”: The author discusses what the future of AI might look like and how to ensure it functions without errors.
9. “The Coming Wave: Technology, Power, and the Twenty-First Century’s Greatest Dilemma”: This book warns of the risks of emerging technologies and analyzes the forces that drive innovation.
10. “Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning”: This educational guide explores the mathematical foundations of deep learning.
11. “Neural Networks and Deep Learning”: This book delves into the key concepts of neural networks and deep learning while highlighting their mathematical aspects.
12. “Artificial Intelligence for Humans”: The book explains how AI algorithms are used, with examples in multiple programming languages.
13. “AI Superpowers: China, Silicon Valley, and the New World Order”: This book examines the unexpected consequences of AI development and the competition between the USA and China over AI innovations.
14. “Hello World: Being Human in the Age of Algorithms”: This book discusses the strengths and limitations of today’s algorithms and prepares readers for a world driven by code.
15. “The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World”: The author explores the concept of a “Master algorithm,” a comprehensive learning algorithm capable of synthesizing different approaches.
16. “Applied Artificial Intelligence: A Handbook for Business Leaders”: This guide helps businesses understand how to apply AI for growth and innovation.
17. “Superintelligence: Paths, Dangers, Strategies”: This book questions whether AI agents will be beneficial or harmful to us, and stresses the importance of global collaboration in developing safe AI.
The list is affiliated with book referrals, so purchases support the maker’s profit. Suggestions for other books missed in this list can be sent to asif@marktechpost.com.
