Introduction to Machine Learning

This chapter collects some notes on the lectures in the eight and nine week of course, which offers a mathematical introduction to machine learning.

• Supervised and Unsupervised Learning
  • Definitions
  • Clustering by the k-Means Algorithm
  • Dimension Reduction via Principal Component Analysis
  • Proposals of Project Topics
  • Exercises
• Neural Networks
  • Definitions
  • An Artificial Neural Network
  • Exercises
  • Bibliography
• Introduction to Deep Learning
  • Getting Started with Flux
  • An Artificial Neural Network Revisited
  • Recognizing Handwritten Numbers
  • Proposal of a Project Topic
  • Exercises
  • Bibliography
• Face Recognition and Ranking Data
  • Face Recognition
  • Ranking Data
  • proposal for a project topic
  • Exercises
  • Bibliography