Mathematics and Applications of Machine Learning

Version: 2017-01-31

Contents:

Possible choices of topics to proceed with:

  • Introduction into the mathematics of neural networks

    • Universal approximation theorem
    • Complexity analysis
  • Benchmark: support vector machines

    • Linear classification
    • Non-linear classification
  • Recurrent neural networks

    • Learning addition with carry
    • Pattern recognition in texts
  • Reinforcement learning

Indices and tables