How can competition teach machine learning? Carl and Richard talk to Anthony Goldbloom of Kaggle about competitive machine learning. Kaggle hosts competitions provided by industry and academia to find machine learning solutions on different data sets. While the competitive aspects tend toward only particular types of data sets, Anthony talks about how two very different machine learning algorithms - Gradient Boosting Machine and Deep Recurrent Neural Networks - have risen to the top. Want to learn machine learning in a hurry? Join a competition!
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Support this podcast at — https://redcircle.com/net-rocks/donations
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