The problem is that this guy has no clue.<p>- A naive Bayes classifier is not a Bayesian method. It's just using Bayes rule, while Bayesian methods marginalize out the parameters.<p>- Regression and classification are different things. And, ironically, logistic regression is a classifier.<p>- Neither Linear Discriminant Analysis nor radial basis functions are kernel methods.<p>- EM is not a clustering method, it is an optimization algorithm for probabilistic models of a specific structure.<p>- Learning vector quantization is not a neural net.<p>- ...
There was a discussion on exact same article a month ago.<p><a href="https://news.ycombinator.com/item?id=7783550" rel="nofollow">https://news.ycombinator.com/item?id=7783550</a>
Great introduction to ML algorithms. I would also like to recommend the Coursera course taught by Andrew Ng for a practical starting up in this powerful field.