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Summary of machine learning topics.
Summary of machine learning topics.


==Summaries==
==Links==
 
===Summaries===


Jason Brownlee: http://machinelearningmastery.com/a-tour-of-machine-learning-algorithms/
Jason Brownlee: http://machinelearningmastery.com/a-tour-of-machine-learning-algorithms/
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The pitfalls of Kaggle competitions: http://machinelearningmastery.com/machine-learning-is-kaggle-competitions/
The pitfalls of Kaggle competitions: http://machinelearningmastery.com/machine-learning-is-kaggle-competitions/


==Neural Networks==
===Neural Networks===


Andrej Karpathy:
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


Hacker's Guide to Neural Networks: http://karpathy.github.io/neuralnets/
Genetic algorithm to write a [[Brainfuck]] program: http://www.primaryobjects.com/2013/01/27/using-artificial-intelligence-to-write-self-modifying-improving-programs/


Unreasonable Effectiveness of Neural Networks: http://karpathy.github.io/2015/05/21/rnn-effectiveness/


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

Latest revision as of 02:06, 26 May 2017

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:

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/