Here is a list of 10 best books for Learning Artificial Intelligence or Machine learning. Choosing the right books from the list depends on your background, goals, and the specific aspects of machine learning and artificial intelligence you’re interested in. Related articles: AI Seminar Topics
#1 Pattern Recognition and Machine Learning by Christopher M. Bishop
This book covers the fundamentals of pattern recognition and machine learning, providing a solid foundation for understanding key concepts.
#2 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron
This practical guide is great for those who want to get hands-on experience with popular machine-learning libraries like Scikit-Learn, Keras, and TensorFlow.
#3 Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Known as the Deep Learning Bible, this book provides a comprehensive introduction to deep learning, covering both theoretical foundations and practical applications.
#4 Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
This widely used textbook provides a comprehensive and accessible introduction to the principles and practices of artificial intelligence.
#5 Python Machine Learning by Sebastian Raschka and Vahid Mirjalili
This book focuses on practical aspects of machine learning with Python, covering a variety of algorithms and techniques.
#6 Machine Learning Yearning by Andrew Ng
Andrew Ng, a renowned figure in the machine learning community, offers practical advice and best practices for designing and deploying machine learning systems.
#7 Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
This book is a classic in reinforcement learning, providing a thorough introduction to the concepts and algorithms.
#8 The Hundred-Page Machine Learning Book by Andriy Burkov
As the title suggests, this book is a concise yet comprehensive guide to machine learning concepts and techniques.
#9 Human Compatible: Artificial Intelligence and the Problem of Control by Stuart Russell
Stuart Russell explores artificial intelligence’s challenges and potential risks in this thought-provoking book.
#10 Data Science for Business by Foster Provost and Tom Fawcett
While not exclusively about machine learning, this book is an excellent resource for understanding the practical applications of data science and machine learning in a business context.
Remember to check for updated editions or new releases, as the field of machine learning and artificial intelligence is dynamic, and new developments are frequent.
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