This is the master page for Notes on Machine Learning posts, in which I summarize in a succinct and straighforward fashion what I learn from Probability Primer course by Mathematical Monk, along with my own thoughts and related resources.
- RV: random variable
- Notes on Probability Primer 1: Measure theory
- Notes on Probability Primer 2: Conditional probability & independence
- Notes on Probability Primer 3: Random variables
Subscribe via RSS