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 ...

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 ...

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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 ...

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 ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...