Exploring Lecture 30 20 Nov Cpsc 340 2020w Machine Learning And Data Mining
Exploring Lecture 30 20 Nov Cpsc 340 2020w Machine Learning And Data Mining reveals several interesting facts.
- Principal Component Analysis,
- Feature Selection, Genome-Wide Association Studies.
- More Linear Classifiers, Support Vector
- Regularization.
- More clustering, DBSCAN (video, demo), Hierarchical Clustering, Phylogenetic Trees https://www.cs.ubc.ca/~fwood/CS340/
In-Depth Information on Lecture 30 20 Nov Cpsc 340 2020w Machine Learning And Data Mining
Multi-Dimensional Scaling, Nonlinear Dimensionality Reduction, t-SNE demo. Feature Engineering, Gmail Priority Inbox. Kernel Trick. MLE and MAP, Maximum Likelihood Estimation.
Outlier Detection, Empirical Study https://www.cs.ubc.ca/~fwood/CS340/
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