A Computational Approach To Statistical Learning (Chapman & Hall/Crc Texts In Statistical Science)

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

• | Author: Taylor Arnold, Michael Kane, Bryan W. Lewis
• | Publisher: Chapman And Hall/Crc
• | Publication Date: Jun 30, 2020
• | Number of Pages: 362 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0367570610
• | ISBN-13: 9780367570613