Posts

• • algorithm
  Sep 1, 2017

  Naive Bayes

  ML 2 Generative Learning

  In this notebook we make distinction between discriminative learning and generative learning algorithms.

  Conditional Probability

  The conditional probability is fundemental in statistc inference.

• Aug 2, 2017

  Learning Theory

  Generalization error

  Questions that we might want to ask:

  • Most learning algorithms fit their models to the training set, why should doing well on the training set tell us anything about generalization error?
  • Can we relate error on the training set to generalization error?
  • Are there conditions under which we can actually prove that learning algorithms will work well?