Lessons
16 lessons are ready.
- Leftover Must Sum to 1
- Conditioning Zooms the Leftover
- Bayes Reallocates Leftover
- A Random Variable Names the Leftover
- Expectation Mixes the Outcomes
- Variance Is Spread of Leftover
- Density Is Leftover per Length
- Joint Tables Split Leftover Two Ways
- Named Families ML Actually Uses
- Independence Is a Product
- MLE Makes the Data Most Probable
- MAP Spends a Prior on Leftover Belief
- KL Is Leftover Surprise Between Guesses
- Softmax Turns Scores into Leftover
- Averages Concentrate
- Markov Leftover and Nested Expectation