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Introduction to Machine Learning - by  Etienne Bernard (Paperback) - 1 of 1

Introduction to Machine Learning - by Etienne Bernard (Paperback)

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Highlights

  • Machine learning-a computer's ability to learn-is transforming our world: it is used to understand images, process text, make predictions by analyzing large amounts of data, and much more.
  • Author(s): Etienne Bernard
  • 424 Pages
  • Computers + Internet,

Description



About the Book



Machine learning--a computer's ability to learn--is transforming our world: it is used to understand images, process text, make predictions by analyzing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well. Introduction to Machine Learning weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book. From there, readers are introduced to key concepts before exploring common methods and paradigms such as classification, regression, clustering, and deep learning. The math content is kept to a minimum to focus on what matters--applying the concepts in useful contexts. This book is sure to benefit anyone curious about the fascinating field of machine learning.



Book Synopsis



Machine learning-a computer's ability to learn-is transforming our world: it is used to understand images, process text, make predictions by analyzing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well.


Introduction to Machine Learning weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book. From there, readers are introduced to key concepts before exploring common methods and paradigms such as classification, regression, clustering, and deep learning. The math content is kept to a minimum to focus on what matters-applying the concepts in useful contexts. This book is sure to benefit anyone curious about the fascinating field of machine learning.

Dimensions (Overall): 10.0 Inches (H) x 7.0 Inches (W) x .86 Inches (D)
Weight: 1.61 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 424
Genre: Computers + Internet
Publisher: Wolfram Media
Format: Paperback
Author: Etienne Bernard
Language: English
Street Date: December 20, 2021
TCIN: 1011879597
UPC: 9781579550486
Item Number (DPCI): 247-39-1130
Origin: Made in the USA or Imported
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Estimated ship dimensions: 0.86 inches length x 7 inches width x 10 inches height
Estimated ship weight: 1.61 pounds
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