Principal component analysis (PCA) is a classical machine learning technique. The goal of PCA is to transform a dataset into one with fewer columns. This is called dimensionality reduction. The ...

Principal component analysis (PCA) is a classical machine learning technique. The goal of PCA is to transform a dataset into one with fewer columns. This is called dimensionality reduction. The ...

Splunk, the framework for analyzing logs that’s grown into a broad-scale data analytics platform, has gained a new array of tools for .Net developers. A blog post by the Splunk team team describes the ...

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Coverity this week released a new version of its namesake software development testing platform with expanded Java and C# testing capabilities and 17 new and enhanced analysis algorithms for Java and ...

Coverity™, Inc., the leader in improving software quality and security, announced Coverity Prevent™ for C#. The product utilizes a new analysis engine developed by Coverity’s research and ...

Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.