A Computational Approach to Statistical Learning (PDF)
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This book synthesizes those techniques from numerical analysis, algorithms, data structures, and optimization theory mostcommonly employed in statistics and machine learning. We provide concrete applications of these methods by giving complete reference implementations for a large set of the most commonly used statistical estimators. The goal is to provide a self-contained textbook explaining the inner algorithmic workings of statistical estimators.
Michael Kane is an assistant professor of biostatistics at Yale University. He is the recipient of grants from the National Institutes of Health (NIH), DARPA, and the Bill and Melinda Gates Foundation. His R package bigmemory won the Chamber's prize for statistical software in 2010.
Bryan Lewis is an applied mathematician and author of many popular R packages, including irlba, doRedis, and threejs.
- Autoren: Taylor Arnold , Michael Kane , Bryan W. Lewis
- 2019, 1. Auflage, 374 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1351694766
- ISBN-13: 9781351694766
- Erscheinungsdatum: 23.01.2019
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- Größe: 33 MB
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