Mathematics and Applications of Machine Learning

Version: 2018-09-05

SS18 Exam Results

Contents:

• Mathematics and Applications of Machine Learning
  • Description
  • About this course material
  • License
• Introduction
  • References to start with
  • Vocabulary and Overview
• First steps: Linear Classification
  • Binary Classification Problems
  • Perceptron
  • Adaline
• Where to go from here?
  • Sigmoid activation function
  • Support Vector Machine
  • First Non-Linear Classification
  • Multi-Class Classification
• Optimization Theory
  • Existence of optimal solutions
  • Convex optimization
  • Lagrange function and Duality
• Nonlinear Classification Problems
  • Kernel Trick for Support Vector Machines
  • Multi-Layer Networks and Backpropagation
• References

Source Code

• Repository: GitHub
• Student Projects: GitHub

Indices and tables

• Index
• Search Page