menu
{ "item_title" : "An Introduction to Pattern Recognition and Machine Learning", "item_author" : [" Paul Fieguth "], "item_description" : "The domains of Pattern Recognition and Machine Learning have experienced exceptional interest and growth, however the overwhelming number of methods and applications can make the fields seem bewildering. This text offers an accessible and conceptually rich introduction, a solid mathematical development emphasizing simplicity and intuition. Students beginning to explore pattern recognition do not need a suite of mathematically advanced methods or complicated computational libraries to understand and appreciate pattern recognition; rather the fundamental concepts and insights, eminently teachable at the undergraduate level, motivate this text. This book provides methods of analysis that the reader can realistically undertake on their own, supported by real-world examples, case-studies, and worked numerical / computational studies.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/095/993/3030959937_b.jpg", "price_data" : { "retail_price" : "99.99", "online_price" : "99.99", "our_price" : "99.99", "club_price" : "99.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
An Introduction to Pattern Recognition and Machine Learning|Paul Fieguth

An Introduction to Pattern Recognition and Machine Learning

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

Overview

The domains of Pattern Recognition and Machine Learning have experienced exceptional interest and growth, however the overwhelming number of methods and applications can make the fields seem bewildering. This text offers an accessible and conceptually rich introduction, a solid mathematical development emphasizing simplicity and intuition. Students beginning to explore pattern recognition do not need a suite of mathematically advanced methods or complicated computational libraries to understand and appreciate pattern recognition; rather the fundamental concepts and insights, eminently teachable at the undergraduate level, motivate this text. This book provides methods of analysis that the reader can realistically undertake on their own, supported by real-world examples, case-studies, and worked numerical / computational studies.

This item is Non-Returnable

Details

  • ISBN-13: 9783030959937
  • ISBN-10: 3030959937
  • Publisher: Springer
  • Publish Date: November 2022
  • Dimensions: 9.21 x 6.14 x 1.06 inches
  • Shipping Weight: 1.91 pounds
  • Page Count: 471

Related Categories

You May Also Like...

    1

BAM Customer Reviews