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A comment on A Tour of Machine Learning Algorithms.
- A naive Bayes classifier is not a Bayesian method. It's just using Bayes rule, while Bayesian methods marginalize out the parameters.
- Regression and classification are different things. And, ironically, logistic regression is a classifier.
- Neither Linear Discriminant Analysis nor radial basis functions are kernel methods.
- EM is not a clustering method, it is an optimization algorithm for probabilistic models of a specific structure.
- Learning vector quantization is not a neural net.
- ...
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- A naive Bayes classifier is not a Bayesian method. It's just using Bayes rule, while Bayesian methods marginalize out the parameters.
- Regression and classification are different things. And, ironically, logistic regression is a classifier.
- Neither Linear Discriminant Analysis nor radial basis functions are kernel methods.
- EM is not a clustering method, it is an optimization algorithm for probabilistic models of a specific structure.
- Learning vector quantization is not a neural net.
- ...