One of the most amazing things about Python's scikit-learn library is that is has a 4-step modeling pattern that makes it easy to code a machine learning classifier. While this tutorial uses a classifier called Logistic Regression, the coding process in t... (more…)

An excellent explanation of Unsupervised Machine Learning – from algorithms to applications. (more…)

Andrew Ng, one of the most influential voices in machine learning over the last decade, is currently voicing concerns about the extent to which the sector emphasizes innovations in model architecture over data – and specifically, the extent to which it al... (more…)

Gamalon Inc, emerged from stealth mode this week, announced two machine learning products, based on an in-house technology known as Bayesian Program Synthesis (BPS). The company claims BPS can perform machine learning tasks 100 times faster than conventio... (more…)

penn-ml-benchmarks - A large, curated repository of benchmarks for evaluating supervised machine learning algorithms. (more…)