DeepLearning 101

Probability Theory Mathematical framework for representing uncertain statements. Sources of Uncertainty 1) Inherent stochasticity 2) Incomplete obs

Here, some common probability distributions that are useful in machine learning context are introduced.

\*“A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks