Computer Age Statistical Inference, Student Edition Algorithms, Evidence, and Data Science
- Textbook
Description
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with…
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Key features
- Now in paperback and fortified with exercises, this book provides a course in modern statistical thinking written by two world-leading researchers
- 130 class-tested exercises covering theory, methods, and computation help students make the link to scientific knowledge (and uncertainty)
- Clarifies both traditional methods and current, popular algorithms (e.g. neural nets, random forests), giving students a broad and modern appreciation of the topic
About the book
- DOI https://doi.org/10.1017/9781108914062
- Series Institute of Mathematical Statistics Monographs (6)
- Subjects Computer Science,General Statistics and Probability,Machine Learning and Pattern Recognition,Statistical Theory and Methods,Statistics and Probability
- Format: Paperback
- Publication date: 17 June 2021
- ISBN: 9781108823418
- Dimensions (mm): 228 x 152 mm
- Weight: 0.82kg
- Page extent: 506 pages
- Availability: In stock
- Format: Digital
- Publication date: 26 October 2021
- ISBN: 9781108914062
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