Exploring Lecture 13 07 Oct Cpsc 340 2020w Machine Learning And Data Mining
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- Nonlinear regression - Why should one learn
- Feature Engineering, Gmail Priority Inbox.
- Feature Selection, Genome-Wide Association Studies.
- Ensemble Methods, Random Forests, Empirical Study, Kinect https://www.cs.ubc.ca/~fwood/CS340/
- Principal Component Analysis,
In-Depth Information on Lecture 13 07 Oct Cpsc 340 2020w Machine Learning And Data Mining
Gradient Descent, Convex Functions https://www.cs.ubc.ca/~fwood/CS340/ More Regularization, RBF video, RBF and Regularization video. More Linear Classifiers, Support Vector More PCA, Making Sense of PCA, SVD, Eigenfaces.
Kernel Trick.
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