Machine Learning Using C# Succinctly

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Author : James McCaffrey
Categories :
Data Science
Pages : 148
Formats : Amazon Kindle and PDF
Price : FREE
Description
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
  

                                                                                             

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Machine Learning Using C# Succinctly.pdf (2.03 MB)

2015-10-3 22:41:19 上传

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关键词：Learning earning machine Using Learn prediction techniques different determine effective

Thanks for Sharing！

看看 值得学习，，

kankan

谢谢！！

thanks  for sharing!!!!

igs816 发表于 2015-10-3 22:41
Author : James McCaffrey
Categories :
Data Science

Thanks for sharing.

kankan