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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
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text classification: how to handle unclassified data?
When testing my classifiers with new data, should I
remove stopwords from this data and/or
remove low information features from this data?
or just use the data the way it is?
In other words: Is …
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Understanding conditional probability formulas in the context of class-conditionals in gener...
I am trying to understand the theory behind probabilistic generative models a bit better.
If I model the class-conditionals as Gaussians, the formula is this:
$$
\frac{1}{2\pi^{\frac{D}{2}}|\Sigma| …
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identifying low information features with $\chi^2$ distribution
On this site TEXT CLASSIFICATION FOR SENTIMENT ANALYSIS – ELIMINATE LOW INFORMATION FEATURES, low information features are identified by using the BigramAssocMeasures.chi_sq function of NLTK.
My ques …