Machine Learning: Difference between revisions
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Revision as of 22:32, 22 May 2017
Summary of machine learning topics.
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/
Others:
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/