A support vector machine (SVM) is a supervised machine learning algorithm that solves two-group classification problems. After giving an SVM model sets of labeled training data for each category, they’re able to categorize new text.

A look at why Chebyshev's Inequality holds true and some potential applications.

(Phys.org)—A large group of scientists and statisticians has uploaded a paper to the PsyArXiv preprint server arguing for changing the p-value from .05 to .005. The paper outlines their reasons for ...

Nature Human Behaviour - We propose to change the default P-value threshold for statistical significance from 0.05 to 0.005 for claims of new discoveries.

Data scientists are inquisitive and often seek out new tools that help them find answers. They also need to be proficient in using the tools of the trade, even though there are dozens upon dozens of…

This article covers 15 different types of regression for different data problems. It explains regression in detail and shows how to use it with R code

Vincent Chen is a student at Stanford University studying Computer Science. He
is also a Research Assistant at the Stanford AI Lab.


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It’s not entirely clear what level of mathematics…

The code used to generate the plots for this post can be found here.

Discover Mathigon, the Mathematical Playground. Learning mathematics has never been so interactive and fun!

The definitive guide to Random Forests and Decision Trees.