[–] denzil_correa 12y ago ↗ There was a discussion on exact same article a month ago.https://news.ycombinator.com/item?id=7783550
[–] yuribit 12y ago ↗ 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.
[–] sieisteinmodel 12y ago ↗ The problem is that this guy has no clue.- 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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[ 3.0 ms ] story [ 15.9 ms ] threadhttps://news.ycombinator.com/item?id=7783550
- 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.
- ...