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CS189
Anisotropic Gaussians
Anisotropic QDA vs LDA
Application of LS to Time Series Analysis
Building Classifiers
Convolutional Neural Networks
CS 189 Discussion 7
Decision Theory
Decision Trees
Decorrelating the Design Matrix
Discussion 6 CS 189
Eigenvectors, Eigenvalue Decomposition, Spectral Theorem
Ensemble Learning
Hierarchical Clustering
Induced Norm
K-Means Clustering
Logistic Regression (1958)
Maximum Likelihood Estimation
midterm 189
Multivariate Gaussian Distribution
Neural Network
Neurobiology
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Principal Component Analysis
Rayleigh Quotient
Regression And Linear Regression
Ridge Regression (Tikhonov Regularization)
ROC Curve (Receiver Operating Characteristics)
Singular Value Decomposition and PCA
Understanding Covariance Matrix for GDA
Vanishing Gradient Problem (ReLUs)
Visualizing Quadratic Form
Data8
Data 8
midterm prep data8
Testing Hypotheses and AB Testing
EECS127
Linear Programs
Miscellaneous Facts about Matrices and Decomposition
Quadratic Programming
Singular Value Decomposition
Excalidraw
Drawing 2025-03-20 03.24.02.excalidraw
Others
Option Draft
Top Performance and Top Retail Items
Probability
Continuous Probability
100 numpy exercises
Discussion 9 189
Discussion 10 189
Q4. Decision Trees for Classification
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Discussion 10 189
Discussion 10 189
Apr 27, 2025
1 min read
Neural Nets
Universal Function Approximators
Multi-layer perceptrons, Fully Connected Networks.
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