10 Books To Get Started With Artificial Intelligence

1. "Artificial Intelligence: Foundations of Computational Agents" by David L. Poole and Alan K. Mackworth: This book introduces AI, covering intelligent agents, knowledge representation, planning, and decision-making.
2. "Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig: A widely used textbook that covers various aspects of AI, including problem-solving, knowledge representation, machine learning, and natural language processing.
3. "Machine Learning: A Probabilistic Perspective" by Kevin P. Murphy: This book explores machine learning from a probabilistic perspective, discussing key algorithms, methods, and applications in a comprehensive manner.
4. "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville: This book provides a comprehensive introduction to deep learning, covering neural networks, optimization, and advanced topics like generative models.
5. "Python Machine Learning" by Sebastian Raschka and Vahid Mirjalili: An excellent guide for implementing machine learning algorithms using Python. It covers essential concepts and practical examples.
6. "The Hundred-Page Machine Learning Book" by Andriy Burkov: This concise book provides a compact overview of machine learning concepts, algorithms, and best practices.
7. "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron: A practical guide that teaches machine learning techniques using popular Python libraries like Scikit-Learn, Keras, and TensorFlow.
8. "Machine Learning Yearning" by Andrew Ng: Authored by a prominent figure in the field, this book offers practical advice and insights for building effective machine learning systems.
9. "Superintelligence: Paths, Dangers, Strategies" by Nick Bostrom: Explores the potential impact of artificial superintelligence on society and discusses the challenges and strategies associated with its development.
10. "Human Compatible: Artificial Intelligence and the Problem of Control" by Stuart Russell: This book addresses the challenges of aligning AI systems with human values and discusses the importance of designing AI to be compatible with human values and goals.

These books provide a range of perspectives and cover fundamental concepts and practical applications of AI. Selecting a few that align with your interests and learning goals is recommended. Additionally, hands-on practice, online courses, and staying updated with the latest research and developments are crucial for a well-rounded understanding of AI.

Article credit OpenAI . Image credit Adobe FireFly AI

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