This accessible and engaging textbook presents a concise introduction to the exciting field of Artificial Intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, Machine Learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated third edition also includes new material on Deep Learning. Besides corrections of errors, this edition has new sections on data normalization, quality metrics for Machine Learning, data augmentation and a detailed introduction to convolutional networks, the now dominant technique of Deep Learning. Also new are an introduction to large language models such as ChatGPT and the GAN networks used for generative AI, followed by an assessment of how Deep Learning will change the world. Anyone who wants to put AI into practice should come equipped with firm knowledge of programming. Python is a useful language for this due to its relatively high level of abstraction and its many good libraries, particularly for Machine Learning.

Introduction to Artificial Intelligence, 3E PDF

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