menu
{ "item_title" : "A Computational Approach to Statistical Learning", "item_author" : [" Taylor Arnold", "Michael Kane", "Bryan W. Lewis "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/13/804/637/113804637X_b.jpg", "price_data" : { "retail_price" : "135.00", "online_price" : "135.00", "our_price" : "135.00", "club_price" : "135.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
A Computational Approach to Statistical Learning|Taylor Arnold

A Computational Approach to Statistical Learning

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781138046375
  • ISBN-10: 113804637X
  • Publisher: CRC Press
  • Publish Date: January 2019
  • Dimensions: 9.2 x 6.2 x 1 inches
  • Shipping Weight: 1.45 pounds
  • Page Count: 376

Related Categories

You May Also Like...

    1

BAM Customer Reviews