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A Computational Approach to Statistical Learning
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$140.99
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Product Details
Author:
Taylor Arnold, Michael Kane, Bryan W. Lewis
Format:
Hardcover
Pages:
376
Publisher:
CRC Press (January 29, 2019)
Imprint:
Chapman and Hall/CRC
Language:
English
ISBN-13:
9781138046375
Weight:
25.75oz
Dimensions:
6.125" x 9.1875"
File:
TAYLORFRANCIS-TayFran_260911042817464-20260911.xml
Folder:
TAYLORFRANCIS
List Price:
$140.99
Country of Origin:
United States
Pub Discount:
30
Series:
Chapman & Hall/CRC Texts in Statistical Science
Case Pack:
20
As low as:
$133.94
Publisher Identifier:
P-CRC
Discount Code:
H
Overview
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.
