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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.

1 vote
1 answer
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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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45 views

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 …
user3813234's user avatar
1 vote
1 answer
121 views

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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