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13.
Artificial intelligence : a textbook
Aggarwal, Charu C.
''This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories: 1. Deductive reasoning methods: These methods start with pre-defined ...hypotheses and reason with them in order to arrive at logically sound conclusions. The underlying methods include search and logic-based methods. These methods are discussed in Chapters 1 through 5. 2. Inductive Learning Methods: These methods start with examples and use statistical methods in order to arrive at hypotheses. Examples include regression modeling, support vector machines, neural networks, reinforcement learning, unsupervised learning, and probabilistic graphical models. These methods are discussed in Chapters 6 through 11. 3. Integrating Reasoning and Learning: Chapters 11 and 12 discuss techniques for integrating reasoning and learning. Examples include the use of knowledge graphs and neuro-symbolic artificial intelligence.''--Backcover
Type of material - book
; adult, serious
Publication and manufacture - Cham (Switzerland) : Springer, cop. 2021
Language -
english
ISBN - 978-3-030-72359-0; 3-030-72359-3; 978-3-030-72356-9
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