We use cookies to give you the best experience on our website. If you continue to browse, then you agree to our privacy policy and cookie policy. (Last updated on : Nov 16th 2018).
Unfortunately, activation email could not send to your email. Please try again.
Syncfusion Feedback

Succinctly Series On The Go

Download 150+ free ebooks on your phone or tablet and learn about the latest trends in software development.
Explore all ebooks

Machine Learning Using C# Succinctly premier


James McCaffrey

This ebook is part of our premier ebook collection. By downloading this ebook, you will receive emails from Syncfusion regarding new ebooks, promotional offers, and free learning resources.
Machine Learning Using C# Succinctly Free eBook
Free EBook
OVERVIEW

In Machine Learning Using C# Succinctly, you’ll learn several different approaches to applying machine learning to data analysis and prediction problems. Author James McCaffrey demonstrates different clustering and classification techniques, and explains the many decisions that must be made during development that determine how effective these techniques can be. McCaffrey provides thorough examples of applying k-means clustering to group strictly numerical data, calculating category utility to cluster both qualitative and quantitative information, and even using neural network classification to predict the output of previously unseen data.

TABLE OF CONTENTS
  • k-Means Clustering

  • Categorical Data Clustering

  • Logistic Regression Classification

  • Naïve Bayes Classification

  • Neural Network Classification

Author

James McCaffrey

Published on

Oct 21, 2014

Pages

148

Categories
Tags
Type

Search more than 150 Ebooks

Looking for something specific? Try our title or author search.

Thank you for downloading Machine Learning Using C# Succinctly .
×

Warning Icon You are using an outdated version of Internet Explorer that may not display all features of this and other websites. Upgrade to Internet Explorer 8 or newer for a better experience.Close Icon