这本综合性百科全书有250多条A-Z格式的条目，为那些希望进入机器学习这一广阔领域的人提供了轻松获取相关信息的途径。这部杰出作品中的大多数条目都包含有用的文献参考。
机器学习百科全书的主题是由一个著名的国际咨询委员会选择的。这些经过同行评审的、高度结构化的条目包括定义、插图、应用程序、参考书目和相关文献的链接，为读者提供了一个门户，可以获取任何给定主题的更详细信息。
机器学习百科全书中的条目风格是说明性和教程性的，这使本书成为机器学习专家的实用资源，以及其他领域的专业人士，他们需要访问这些重要信息，但可能没有时间就他们感兴趣的主题通读整本书。
权威参考文献以印刷版和网络版两种形式出版。印刷出版物包括主题和作者索引。在线版通过超链接以及文本中相关条目的内部超链接、交叉引用和其他重要研究的链接来补充该索引。
Encyclopedia of Machine Learning by Claude Sammut (True PDF)
This comprehensive encyclopedia, with over 250 entries in an A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of machine learning. Most entries in this preeminent work include useful literature references.
Topics for the Encyclopedia of Machine Learning were selected by a distinguished international advisory board. These peer-reviewed, highly-structured entries include definitions, illustrations, applications, bibliographies and links to related literature, providing the reader with a portal to more detailed information on any given topic.
The style of the entries in the Encyclopedia of Machine Learning is expository and tutorial, making the book a practical resource for machine learning experts, as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest.
The authoritative reference is published both in print and online. The print publication includes an index of subjects and authors. The online edition supplements this index with hyperlinks as well as internal hyperlinks to related entries in the text, CrossRef citations, and links to additional significant research.
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