Quantitative comparison of scikit-learn’s predictive models on a large number of machine learning datasets: A good start

This is an enormous effort with great potential for helping bioinformaticians in their research.

Are physicians worried about computers machine learning their jobs?

Reports of unintended consequences due to machine learning have been greatly exaggerated!

Must read machine learning papers 

Must read machine learning papers on performance evaluation and comparison.

A must read perspective on “Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations”

Every once in a while, there appears a paper that is so good, so well-written and so packed with insights, that I would read it a few times... that I wished I had written it myself. That happened when I read this perspective paper by Jonathan Chen and Steven Asch. Normally I'd tweet a link …

Continue reading A must read perspective on “Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations”