Become a Readings Member to make your shopping experience even easier. Sign in or sign up for free!

Become a Readings Member. Sign in or sign up for free!

Hello Readings Member! Go to the member centre to view your orders, change your details, or view your lists, or sign out.

Hello Readings Member! Go to the member centre or sign out.

 
Paperback

Supervised Machine Learning

$161.99
Sign in or become a Readings Member to add this title to your wishlist.

The book "Supervised Machine Learning: A Comprehensive Guide" by Dr. Subir Gupta aims to provide an in-depth understanding of supervised machine learning algorithms. It targets students, professionals, and researchers, offering clear explanations and practical applications. The book is divided into three main sections: an introduction to the fundamental concepts and types of supervised learning, a detailed exploration of regression algorithms, and an extensive examination of classification algorithms. Each algorithm is explained with definitions, practical uses, pseudocode, and discussions of their limitations. The guide is designed to be a valuable resource for anyone looking to apply machine learning techniques effectively to solve real-world problems.

Read More
In Shop
Out of stock
Shipping & Delivery

$9.00 standard shipping within Australia
FREE standard shipping within Australia for orders over $100.00
Express & International shipping calculated at checkout

MORE INFO
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
26 August 2024
Pages
56
ISBN
9786207844548

The book "Supervised Machine Learning: A Comprehensive Guide" by Dr. Subir Gupta aims to provide an in-depth understanding of supervised machine learning algorithms. It targets students, professionals, and researchers, offering clear explanations and practical applications. The book is divided into three main sections: an introduction to the fundamental concepts and types of supervised learning, a detailed exploration of regression algorithms, and an extensive examination of classification algorithms. Each algorithm is explained with definitions, practical uses, pseudocode, and discussions of their limitations. The guide is designed to be a valuable resource for anyone looking to apply machine learning techniques effectively to solve real-world problems.

Read More
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
26 August 2024
Pages
56
ISBN
9786207844548