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Lecture 9 - 28 Sep - CPSC 340 2020W Machine Learning and Data Mining
Lecture 17 - 19 Oct - CPSC 340 2020W Machine Learning and Data Mining
Lecture 22 - 30 Oct - CPSC 340 2020W Machine Learning and Data Mining
Lecture 27 - 13 Nov - CPSC 340 2020W Machine Learning and Data Mining
Lecture 8 - 25 Sep - CPSC 340 2020W Machine Learning and Data Mining
Lecture 6 - 21 Sep - CPSC 340 2020W Machine Learning and Data Mining
Lecture 30 - 20 Nov - CPSC 340 2020W Machine Learning and Data Mining
Lecture 19 - 23 Oct - CPSC 340 2020W Machine Learning and Data Mining
Lecture 16 - 16 Oct - CPSC 340 2020W Machine Learning and Data Mining
Lecture 11 - 02 Oct - CPSC 340 2020W Machine Learning and Data Mining
Lecture 25 - 06 Nov - CPSC 340 2020W Machine Learning and Data Mining
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Last Updated: September 28, 2026
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Slides at ubc-cs.github.io/cpsc340/lectures/L8.pdf?raw=1 1st notebook at ... Outlier Detection, Empirical Study cs.ubc.ca/~fwood/CS340/ Deep Learning, Google Video, What is a Neural Network?, Interactive Guide. More Regularization, RBF video, RBF and Regularization video. More PCA, Making Sense of PCA, SVD, Eigenfaces. Non-parametric models: K-nearest neighbors, Decision Theory for Darts, Norms cs.ubc.ca/~fwood/CS340/ Multi-Dimensional Scaling, Nonlinear Dimensionality Reduction, t-SNE demo. More Linear Classifiers, Support Vector Machines. Least Squares, Linear Regression, Least Squares, Essence of Calculus, Partial Derivative, Gradient ... MLE and MAP, Maximum Likelihood Estimation.