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Text
UGBA198
* Syllabus
* About
UGBA 198 at UC Berkeley MACHINE LEARNING FOR BUSINESS DECISIONS Lectures: Tuesdays 6-8 PM in Cheit C-110WEEK 10 OVERVIEW
NEURAL NETS (CONTINUED) Tuesday, April 9 - Monday, April 15NOTES
See Syllabus
for more information. You can find a list of week-by-week topics. * Note 1: Least Squares(Draft)
* Note 2: OLS, Ridge Regression * Note 3: Gradient Descent, Feature Engineering, and Regularization * Note 4: Regularization (cont.) and Bias-Variance Decomposition * Note 5: MLE and MAP: Statistical Justifications * Note 6: MAP Estimation and Decision Trees * Note 7: Principal Component Analysis * Note 8a: Decision Trees (cont.), Classification * Note 8b: Linear Discriminant Analysis * Note 9a: Classification (cont.), Support Vector Machines * Note 9b: Support Vector Machines (from CS 189) * Note 9c: K-Nearest Neighbors, K-Means * Note 10: Neural Networks * Note 11: Latent Dirichlet AllocationExpand
HOMEWORKS
Homeworks are due on Wednesdays at 5 PM. * Homework 01: Review and Least SquaresExpand
SYLLABUS
PIAZZA
META
* About
* Calendar
Details
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