# Tagged Questions

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### What machine learning tool is best suited for taking time series and descriptive and making a binomial classification. [migrated]

I have an interesting task of utilizing log data from computer servers in a server farm and predicting if a particular server is likely to fail in the next 24 hours. My data set will be comprised of ...
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### Why do Bayesian Networks use acyclicity assumption?

I am trying to gain an intuition about how Bayesian Networks are built for a stochastic process. I see how the conditional independence assumptions in a Bayesian Network makes probability calculations ...
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### Building Bayesian Networks, Causality and Cyclic Reasoning

I am studying Bayesian Statistics and I am trying to get a good understanding on Bayesian Networks, which seems to be vital in order to make something useful in Machine Learning. Most of the texts I ...
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### Bayes Learning - MAP hypotesis

Suppose I have a set of hypotesys $H = \{h_1, h_2\}$ mutual exclusive. For them $P(h_1) = 0.2$ and $P(h_2) = 0.3$ (prior distribution). Suppose we know also that $$P(Y=0 | h_1) = 0.2$$ P(Y=0 | h_2) ...
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### Trouble reading multinomial naive bayes notation

$C_m$: m = most likely class (wanted to write C subscript MAP for "maximum a posteriori" but couldn't do MAP with MathJax) ...