Data mining is the practice of analyzing large volumes of data to extract the most important information, allowing it to be used for deeper analysis.

Data mining tools collect and analyze data much faster than humans. Learn what data mining is, how it works, and how to use it effectively.

Linear regression and its variants have achieved considerable success in image classification. However, those methods still encounter two challenges when dealing with hyperspectral image (HSI) ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

The Data Science Lab Linear Support Vector Regression from Scratch Using C# with Evolutionary Training Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the ...

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

Linear regression finds the best relationship using a straight line between an independent and dependent variable. This best fit line predicts the value of the dependent varible based on the ...

Data mining is the use of computers to pour through vast quantities of data to draw conclusions or predict outcomes. We explain what it is and how it's used.

Data mining is the software-driven analysis of large batches of data in order to identify meaningful patterns.