Exploring Lecture 7 23 Sep Cpsc 340 2020w Machine Learning And Data Mining
Let's dive into the details surrounding Lecture 7 23 Sep Cpsc 340 2020w Machine Learning And Data Mining.
- Stochastic Gradient.
- Exploratory
- Principal Component Analysis,
- MLE and MAP, Maximum Likelihood Estimation.
- Clustering, K-means clustering (demo), K-Means++ https://www.cs.ubc.ca/~fwood/CS340/
In-Depth Information on Lecture 7 23 Sep Cpsc 340 2020w Machine Learning And Data Mining
Ensemble Methods, Random Forests, Empirical Study, Kinect https://www.cs.ubc.ca/~fwood/CS340/ Boosting, AdaBoost, XGBoost. More Regularization, RBF video, RBF and Regularization video. More Linear Classifiers, Support Vector
Gradient Descent, Convex Functions https://www.cs.ubc.ca/~fwood/CS340/
That wraps up our extensive overview of Lecture 7 23 Sep Cpsc 340 2020w Machine Learning And Data Mining.