Machine Learning Theory and Applications: Hands-On Use Cases With Python on Classical and Quantum Machines, Xavier Vasques, John Wiley & Sons, 2024, xx + 487 pages, $89.95, hardcover ISBN: 978-1-394-22061-8

IF 1.7 3区数学 Q1 STATISTICS & PROBABILITY

International Statistical Review Pub Date : 2024-10-07 DOI:10.1111/insr.12602

Shuangzhe Liu

引用次数: 0

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机器学习理论与应用：使用 Python 在经典和量子机器上的实践案例》，Xavier Vasques 著，约翰-威利父子出版社，2024 年，xx + 487 页，89.95 美元，精装 ISBN：978-1-394-22061-8

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Statistical Review 数学-统计学与概率论

CiteScore

4.30

自引率

5.00%

发文量

审稿时长

>12 weeks

期刊介绍： International Statistical Review is the flagship journal of the International Statistical Institute (ISI) and of its family of Associations. It publishes papers of broad and general interest in statistics and probability. The term Review is to be interpreted broadly. The types of papers that are suitable for publication include (but are not limited to) the following: reviews/surveys of significant developments in theory, methodology, statistical computing and graphics, statistical education, and application areas; tutorials on important topics; expository papers on emerging areas of research or application; papers describing new developments and/or challenges in relevant areas; papers addressing foundational issues; papers on the history of statistics and probability; white papers on topics of importance to the profession or society; and historical assessment of seminal papers in the field and their impact.