Information gain calculates the reduction in entropy or surprise from transforming a dataset in some way. It is commonly used…
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Fundamentals of Machine Learning (Part 3)
Using q instead of p requires H(p, q)-H(x) extra bits. We call this value the relative entropy or Kullback-Leibler (KL)…
Continue ReadingFeatures that Maximizes Mutual Information, How do they Look Like?
Features that Maximizes Mutual Information, How do they Look Like?We can create latent features by maximizing mutual information, but how would…
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