16:17
MACHINE LEARNING ESSENTIALS
THE COUNTER NARRATIVE
14:26
PROBABILITY, STATISTICS & INFORMATION THEORY EXPLAINED
11:45
BM25, EMBEDDINGS, AND THE PART EVERYONE SKIPS
12:49
RIDGE VS LASSO: WHY CORNERS CREATE ZEROS
6:53
THE COMPLETE MACHINE LEARNING EVALUATION ECOSYSTEM
8:59
PUT-CALL PARITY, TESTED ON A LIVE OPTIONS CHAIN
7:53
YOU'VE BEEN USING LOG LOSS WITHOUT KNOWING WHY — MLE AND MAP EXPLAINED
10:39
TWO LEVEL REALITY OF REGRESSION
10:38
TREE CLASSIFICATION ALGORITHMS EXPLAINED
11:26
TREE REGRESSION ALGORITHMS EXPLAINED
8:06
CONSTRAINED OPTIMIZATION: ACTIVE SET V INTERIOR POINT METHODS
21:33
UNCONSTRAINED OPTIMIZATION: ONE MASTER EQUATION, FIVE FAMILIES
7:35
SHAP (GAME THEORY) EXPLAINED ~MACHINE LEARNING INTERPRETABILITY~
