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What is CS229 Problem Set 1: Supervised Learning about?

This document describes Problem Set #1 for CS229 at Stanford University. It includes 5 problems related to supervised learning techniques: (1) logistic regression, (2) Poisson regression and the exponential family, (3) Gaussian discriminant analysis, (4) linear invariance of optimization algorithms, and (5) regression for denoising quasar spectra. Students are asked to derive equations, implement algorithms, and justify statistical modeling assumptions. The problem set is due on October 19th and requires th

Author

patrick

Language

EN