Book Review:; Essential Statistics for Data Science: A Concise Crash Course

IF 10.8 1区 数学 Q1 MATHEMATICS, APPLIED
SIAM Review Pub Date : 2025-02-06 DOI:10.1137/24m167562x
David Banks
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引用次数: 0

Abstract

SIAM Review, Volume 67, Issue 1, Page 206-207, March 2025.
This is a bold book! Professor Zhu wants to provide the basic statistical knowledge needed by data scientists in a super-short volume. It reminds me a bit of Larry Wasserman’s All of Statistics (Springer, 2014), but is aimed at Masters students (often from fields other than statistics) or advanced undergraduates (also often from other fields). As an attendee at far too many faculty meetings, I applaud brevity and focus. As an amateur stylist, I admire strong technical writing. And as an applied statistician who has taught basic statistics to Masters and Ph.D. students from other disciplines, I appreciate the need for a book of this kind. For the right course I would happily use this book, although I would need to supplement it with other material.
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来源期刊
SIAM Review
SIAM Review 数学-应用数学
CiteScore
16.90
自引率
0.00%
发文量
50
期刊介绍: Survey and Review feature papers that provide an integrative and current viewpoint on important topics in applied or computational mathematics and scientific computing. These papers aim to offer a comprehensive perspective on the subject matter. Research Spotlights publish concise research papers in applied and computational mathematics that are of interest to a wide range of readers in SIAM Review. The papers in this section present innovative ideas that are clearly explained and motivated. They stand out from regular publications in specific SIAM journals due to their accessibility and potential for widespread and long-lasting influence.
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