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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.

3 votes
1 answer
361 views

Bayesian treatment of outliers

In a supervised learning problem, I have a training dataset $D$ comprised of samples $x$ and their corresponding labels $\omega$. From this data, I attempt to learn the true distributions $p(x|\omega) …
Damian's user avatar
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2 votes
1 answer
955 views

Partitioning training data for dimension reduction and classification

Let's say I want to test the performance of my dimension reduction + classification pipeline. To do this, I will use k-fold cross validation. I know that performing dimension reduction on the complete …
Damian's user avatar
  • 243