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Artificial Intelligence: A Modern Approach (4th Edition)

Authors: Stuart Russell, Peter Norvig
Paper Quality: Black White Paper

"Artificial Intelligence: A Modern Approach (4th Edition)" by Stuart Russell and Peter Norvig is the most widely used textbook for learning AI concepts, techniques, and applications. This book provides a comprehensive introduction to artificial intelligence, covering machine learning, deep learning, robotics, natural language processing, and more. It is an essential resource for students, researchers, and professionals in computer science, data science, and AI development.

Key Features:

Comprehensive Coverage of AI Concepts – Includes search algorithms, knowledge representation, planning, decision making, and reasoning.
Machine Learning & Deep Learning – Covers supervised, unsupervised, and reinforcement learning with real-world applications.
Natural Language Processing (NLP) & Robotics – Explores speech recognition, chatbots, and AI in robotics.
Ethical AI & Future Trends – Discusses bias, fairness, safety, and the implications of AI in society.
Hands-On AI Development – Includes programming exercises, practical projects, and algorithmic problem-solving.
Updated with Modern AI Technologies – Covers deep neural networks, generative models, and AI for large-scale applications.
Ideal for Students & Professionals – Suitable for BS, MSc, and PhD students, as well as AI engineers and researchers.

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Writer                 ✤    Stuart Russell (Author), Peter Norvig (Author)

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