Understanding Lecture 20 26 Oct Cpsc 340 2020w Machine Learning And Data Mining
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Key Takeaways about Lecture 20 26 Oct Cpsc 340 2020w Machine Learning And Data Mining
- Principal Component Analysis,
- Boosting, AdaBoost, XGBoost.
- More Regularization, RBF video, RBF and Regularization video.
- Gradient Descent, Convex Functions https://www.cs.ubc.ca/~fwood/CS340/
- MLE and MAP, Maximum Likelihood Estimation.
Detailed Analysis of Lecture 20 26 Oct Cpsc 340 2020w Machine Learning And Data Mining
More Linear Classifiers, Support Vector Nonlinear regression - Why should one learn Feature Selection, Genome-Wide Association Studies.
Convolutions.
We hope this detailed breakdown of Lecture 20 26 Oct Cpsc 340 2020w Machine Learning And Data Mining was helpful.