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DeepCoder paper: https://openreview.net/pdf?id=ByldLrqlx
DeepCoder paper: https://openreview.net/pdf?id=ByldLrqlx
[[Category:ML]]
[[Category:NN]]

Revision as of 21:51, 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/

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