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Spooky Stuff in Metric Space

Spooky Stuff in Metric Space

This video was recorded at Solomon seminar. Decision trees are intelligible, but do they perform well enough that you should use them? Have SVMs replaced neural nets, or are neural nets still best for regression, and SVMs best for classification? Boosting maximizes margins similar to SVMs, but can boosting compete with SVMs? And if it does compete, is it better to boost weak models, as theory might suggest, or to boost stronger models? Bagging is simpler than boosting -- how well does bagging stack up against boosting? Breiman said Random Forests are better than bagging and as good as boosting. Was he right? And what about old friends like logistic regression, KNN, and naive bayes? Should they be relegated to the history books, or do they still fill important niches? In this talk we compare... Show More


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