书目名称 | Introduction to Artificial Intelligence | 编辑 | Wolfgang Ertel | 视频video | | 概述 | A concise, quick resource on A.I., excellent for courses and professional self-study.Presents an application-focused and hands-on approach to learning the subject.Provides study exercises, highlighted | 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 .third. .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 .· Introduces convolutional neural networks as the currently most important type of deep learning networks with applications to image classification .(NEW). .· Contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons .· Reports on developments in deep learning, including applications of neural networks to large language models as used in state-of-the-art chatbots as well as to the generation of music and art .(NEW). .· Incl | 出版日期 | Textbook 2025Latest edition | 关键词 | Artificial Intelligence; Agents; Logic; Search; Reasoning with Uncertainty; Machine Learning; Neural Netwo | 版次 | 3 | doi | https://doi.org/10.1007/978-3-658-43102-0 | isbn_softcover | 978-3-658-43101-3 | isbn_ebook | 978-3-658-43102-0Series ISSN 1863-7310 Series E-ISSN 2197-1781 | issn_series | 1863-7310 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies |
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