Visual Studio Magazine

Naive Bayes Classification Using Python

Naive Bayes classification is a machine learning technique that can be used to predict the class of an item based on two or more categorical predictor variables. For example, you might want to predict ...
Nature

Novel Bayesian classification models for predicting compounds blocking hERG potassium channels

A large number of drug-induced long QT syndromes are ascribed to blockage of hERG potassium channels. The aim of this study was to construct novel computational models to predict compounds blocking ...
Visual Studio Magazine

Naive Bayes Classification Using the scikit Library

Dr. James McCaffrey of Microsoft Research shows how to predict a person's sex based on their job type, eye color and country of residence. Naive Bayes classification is a classical machine learning ...
JSTOR Daily

Learning earth system models from observations

Recent progress in machine learning (ML) inspires the idea of improving (or learning) earth system models directly from the observations. Earth sciences already use data assimilation (DA), which ...
JSTOR Daily

Alternative Methods of Estimating the Likelihood Ratio in Classification of Multivariate Normal Observations

An observation is to be classified into one of two multivariate normal distributions with equal covariance matrices. When the parameters are unknown, four methods of estimating the likelihood ratio, ...
Scientific American

Bayes's Theorem: What's the Big Deal?

This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American I’m not sure when I first heard of Bayes’ ...