How to Kick Ass in Competitive Machine Learning

Last Updated on June 7, 2016

David Kofoed Wind posted an article to the Kaggle blog No Free Hunch titled “Learning from the best“. In the post, David summarized 6 key areas related to participating and doing well in competitive machine learning with quotes from top performing kagglers.

In this post you will discover the key heuristics for doing well in competitive machine learning distilled from that post.

Learning from Kaggle Masters

David is a PhD student at The Technical University of Denmark in the Cognitive Systems department. Before that he was a masters student and the title of his thesis was “Concepts in Predictive Machine Learning“.

You would know it from the title, but it is a great thesis. In it, David distills the advice from 3 Kaggle masters Tim Salimans, Steve Donoho and Anil Thomas and an analysis of the results from 10 competitions into an approach for performing well in Kaggle competitions
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