AUC - Machine Learning

Simply put, machine learning is the part of artificial intelligence that actually works.

—Why Is Machine Learning (CS 229) The Most Popular Course At Stanford? Forbes

These webpages accompany the AUC Machine Learning Course. This course is based on the Coursera course on Machine Learning as taught by Andrew Ng. We will cover most of the material presented in that course and add some subjects (like decision tree learning) and some mathematical depth (like the connections with probability theory). Futhermore we will be using Python instead of Matlab or Octave.

Contents:

• Syllabus 2017-2018
  • Contents
  • Recommended Prior Knowledge
  • Teaching Staff
  • Format
  • Attendance
  • Study Materials
  • Assessment
  • Collaboration and plagiarism
• Schedule 2017-2018
• LabExercises 2017-2018
  • Python Installation
  • LabExercise Numpy Exercises
  • Lab Exercise Probability I
  • LabExercise Linear Regression I
• Lecture Notes
  • Probability and Statistics