| 书目名称 | Introduction to Artificial Intelligence | | 编辑 | Wolfgang Ertel | | 视频video | | | 概述 | An ideal, quick resource on A.I., excellent for self-study.Presents an application-focused and hands-on approach to learning the subject.Provides study exercises at the end of each chapter, in additio | | 丛书名称 | Undergraduate Topics in Computer Science | | 图书封面 |  | | 描述 | .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 second edition also includes new material on deep learning..Topics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW); examines performance evaluation of clustering algorithms, and presents two practical examples explaini | | 出版日期 | Textbook 20172nd edition | | 关键词 | Artificial Intelligence; Agents; Logic; Search; Reasoning with Uncertainty; Machine Learning; Neural Netwo | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-319-58487-4 | | isbn_ebook | 978-3-319-58487-4Series ISSN 1863-7310 Series E-ISSN 2197-1781 | | issn_series | 1863-7310 | | copyright | Springer International Publishing AG 2017 |
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发表于 2025-3-21 17:44:34
