johnsmzr / machine-learning-1

Machine Learning 1.x

Machine-Learning-1.x WS2021/22

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

Topics

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