Pred-400 -

. This is the backbone of "Optimization"—how models (like neural networks) learn by minimizing error through Gradient Descent 2. Probability & Distributions Probability Theory : Understanding conditional probability and Bayes' Theorem Random Variables

). It is designed to bridge the gap between basic mathematics and the advanced quantitative methods used in machine learning and statistical modeling. Course Overview PRED-400