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.
Topics included: k-Means Clustering • Categorical Data Clustering • Logistic Regression Classification • Naïve Bayes Classification • Neural Network Classification.
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Publisher: Syncfusion Inc.
Published: October 2014
Format(s): PDF, Mobi(Kindle)
File size: 2.05 MB
Number of pages: 148
Download / View Link(s): PDF, Mobi