Weird Kaggle and the Superiority of Books
(griffens.net)
I recently entered a Kaggle competition to brush up on some modeling skills.1 The analysis problem is a pretty typical clinical prediction question. My final product is, well, "final product" is an extremely charitable description of it.2 But despite this it was a fascinating and worthwhile experience, full of interesting questions to ponder, such as "what is the fundamental difference between statistics and machine learning?" and "do they realize their evaluation metric is pretty silly?"
I recently entered a Kaggle competition to brush up on some modeling skills.1 The analysis problem is a pretty typical clinical prediction question. My final product is, well, "final product" is an extremely charitable description of it.2 But despite this it was a fascinating and worthwhile experience, full of interesting questions to ponder, such as "what is the fundamental difference between statistics and machine learning?" and "do they realize their evaluation metric is pretty silly?"