CS-E3210 - Machine Learning: Basic Principles, 13.09.2017-08.12.2017

Additional Material

• Additional Material
  

  Additional Material

  • Some Well-Written Tutorials

  • Tutorial on (Deep) Learning by Yoshua Bengio URL
  • A Few Useful Things to Know about Machine Learning URL
  • Kernel Methods in Computer Vision URL
  • A Tutorial on Spectral Clustering URL
  • Algorithms

  • Gradient Descent for Convex Optimization URL
  • Clustering via Random Walks URL
  • Distributed Learning and Optimization via ADMM URL
  • Support Vector Machine (Classifier) Solvers URL
  • Learning from Labeled and Unlabeled Data with Label Propagation URL
  • Applications of Machine Learning

  • Machine Learning for Chemistry URL
  • Talks

  • Machine Learning for Big Data. Visionary Talk of Prof. Michael Jordan URL
  • Machine Learning Software

  • Interactive Python Notebook URL
  • Matlab for New Users URL
  • A Tutorial on Machine Learning and Data Science Tools with Python File PDF document
  • Stanford Course on TensorFlow URL
  • Python Tutorial URL
  • Tutorial on Theano. "Theano" is a Python library which allows for rapid development of efficient machine learning algorithms. URL
  • Advanced Statistical Learning Theory (for those who want to dig deeper)

  • Statistical Learning Theory - Lecture Slides by Martin Wainwright URL