Artificial Intelligence: A Modern Approach. Volume 1, Volume 2, Volume 3 (set of 3 books)
A set of three books. In the fourth, updated, revised, and expanded edition of this book, the field of artificial intelligence (AI) is explored and analyzed in all its breadth and depth. All modern achievements are presented, along with ideas...
formulated in research conducted over the past fifty years, as well as gathered over two millennia in fields of knowledge that have stimulated the development of AI as a science. Previous editions of this book have become classic examples of AI literature and are used as a textbook in over 1400 universities across 128 countries around the world, where they have been highly regarded as a convincing summary of the results achieved in this field of science. The book is supplemented with an extensive set of online resources, including exercises, software and research projects, algorithm implementations, as well as additional materials and links for students and instructors. What's new in the fourth edition? In the fourth edition, the reader will become acquainted with the latest technologies and concepts presented in a more unified form with new or expanded coverage of topics such as machine learning, deep learning, transfer learning, multi-agent systems, robotics, natural language processing, the causality problem, probabilistic programming, as well as privacy, fairness, and safety of AI. The product is carefully packaged in bubble wrap and a cardboard box to protect it from mechanical damage.
A set of three books. In the fourth, updated, revised, and expanded edition of this book, the field of artificial intelligence (AI) is explored and analyzed in all its breadth and depth. All modern achievements are presented, along with ideas formulated in research conducted over the past fifty years, as well as gathered over two millennia in fields of knowledge that have stimulated the development of AI as a science. Previous editions of this book have become classic examples of AI literature and are used as a textbook in over 1400 universities across 128 countries around the world, where they have been highly regarded as a convincing summary of the results achieved in this field of science. The book is supplemented with an extensive set of online resources, including exercises, software and research projects, algorithm implementations, as well as additional materials and links for students and instructors. What's new in the fourth edition? In the fourth edition, the reader will become acquainted with the latest technologies and concepts presented in a more unified form with new or expanded coverage of topics such as machine learning, deep learning, transfer learning, multi-agent systems, robotics, natural language processing, the causality problem, probabilistic programming, as well as privacy, fairness, and safety of AI. The product is carefully packaged in bubble wrap and a cardboard box to protect it from mechanical damage.
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