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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
oh
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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Tag: machine-learning
Tag: machine-learning
21 items with this tag.
Apr 27, 2025
Vanishing Gradient Problem (ReLUs)
cs189
machine-learning
neural-net
Apr 27, 2025
Visualizing Quadratic Form
cs189
machine-learning
Apr 27, 2025
Decorrelating the Design Matrix
cs189
machine-learning
Apr 27, 2025
Ensemble Learning
cs189
machine-learning
Apr 27, 2025
Hierarchical Clustering
cs189
machine-learning
Apr 27, 2025
Induced Norm
cs189
eecs127
linear-algebra
machine-learning
statistics
Apr 27, 2025
Logistic Regression (1958)
cs189
machine-learning
Apr 27, 2025
Maximum Likelihood Estimation
cs189
machine-learning
statistics
Apr 27, 2025
Multivariate Gaussian Distribution
statistics
cs189
machine-learning
Apr 27, 2025
Neural Network
cs189
machine-learning
neural-net
Apr 27, 2025
Principal Component Analysis
cs189
machine-learning
linear-algebra
Apr 27, 2025
ROC Curve (Receiver Operating Characteristics)
cs189
machine-learning
Apr 27, 2025
Regression And Linear Regression
cs189
machine-learning
least-square
Apr 27, 2025
Ridge Regression (Tikhonov Regularization)
cs189
machine-learning
Apr 27, 2025
Singular Value Decomposition and PCA
cs189
machine-learning
Apr 27, 2025
Understanding Covariance Matrix for GDA
cs189
probability
machine-learning
Apr 27, 2025
Anisotropic Gaussians
cs189
machine-learning
Apr 27, 2025
Anisotropic QDA vs LDA
cs189
machine-learning
Apr 27, 2025
Building Classifiers
machine-learning
cs189
Apr 27, 2025
Decision Theory
machine-learning
cs189
Apr 27, 2025
Decision Trees
cs189
machine-learning