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Before I had studied Chan for thirty years, I saw mountains as mountains, and rivers as rivers. When I arrived at a more intimate knowledge, I came to the point where I saw that mountains are not mountains, and rivers are not rivers. But now that I have got its very substance I am at rest. For it's just that I see mountains once again as mountains, and rivers once again as rivers.

-- Qingyuan Weixin

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211 How to know that your machine learning problem is hopeless? Jul 5 '16
122 Why is accuracy not the best measure for assessing classification models? Nov 9 '17
107 ASA discusses limitations of $p$-values - what are the alternatives? Mar 8 '16
100 Bayes regression: how is it done in comparison to standard regression? Dec 20 '16
81 When should linear regression be called “machine learning”? Mar 20 '17
69 What exactly is the alpha in the Dirichlet distribution? Nov 8 '16
62 Why study convex optimization for theoretical machine learning? Jan 25 '18
60 When is unbalanced data really a problem in Machine Learning? Jun 2 '17
55 Who are frequentists? Aug 29 '16
55 How to interpret error measures? Jan 5 '15
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