Understanding Lecture 2 11 Sep Cpsc 340 2020w Machine Learning And Data Mining
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Key Takeaways about Lecture 2 11 Sep Cpsc 340 2020w Machine Learning And Data Mining
- Feature Selection, Genome-Wide Association Studies.
- Feature Engineering, Gmail Priority Inbox.
- More clustering, DBSCAN (video, demo), Hierarchical Clustering, Phylogenetic Trees https://www.cs.ubc.ca/~fwood/CS340/
- Deep Learning
- Principal Component Analysis,
Detailed Analysis of Lecture 2 11 Sep Cpsc 340 2020w Machine Learning And Data Mining
Least Squares, Linear Regression, Least Squares, Essence of Calculus, Partial Derivative, Gradient ... Convolutions. Stochastic Gradient.
Robust Regression.
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