Machine Learning 1.x at TU Berlin with seminar "Classical Topics in Machine Learning".
| Trainers | Klaus-Robert Müller |
|---|---|
| Grégoire Montavon | |
| ISIS | https://isis.tu-berlin.de/course/view.php?id=26470 |
The scheduled topics are:
- Bayesian ML
- Bayes Decision Theory
- Maximum Likelihood Estimation and Bayes Parameter Estimation
- Analyses
- Principal Component Analysis
- Linear Discriminant Analysis
- Machine Learning Theory
- Model Selection and Bias/Variance Tradeoff
- VC Dimension and Kernels
- Classification and Regression
- Support Vector Machines
- Decision Trees & Random Forests
- Boosting
- Kernel Ridge Regression
- Neural Networks and Backpropagation
- Latent Variable Models
- k-means Clustering
- Expectation Maximization
- Restricted Boltzmann Machines