Machine Learning

Summary of machine learning topics.

Links

Summaries

Jason Brownlee: http://machinelearningmastery.com/a-tour-of-machine-learning-algorithms/

Cheat sheet via github: https://github.com/soulmachine/machine-learning-cheat-sheet

The pitfalls of Kaggle competitions: http://machinelearningmastery.com/machine-learning-is-kaggle-competitions/

Neural Networks

Andrej Karpathy:

• Hacker's Guide to Neural Networks: http://karpathy.github.io/neuralnets/
• Unreasonable Effectiveness of Neural Networks: http://karpathy.github.io/2015/05/21/rnn-effectiveness/

DeepCoder paper: https://openreview.net/pdf?id=ByldLrqlx

Genetic algorithm to write a Brainfuck program: http://www.primaryobjects.com/2013/01/27/using-artificial-intelligence-to-write-self-modifying-improving-programs/