Andreas C. Müller - Machine Learning Scientist

• http://software-carpentry.org/
• http://www.cs.columbia.edu/~amueller/
• http://shop.oreilly.com/product/0636920030515.do
• https://github.com/amueller/introduction_to_ml_with_python
• https://www.amazon.com/Introduction-Machine-Learning-Andreas-Mueller/dp/1449369413
• http://scikit-learn.org/dev
• https://github.com/scikit-learn/scikit-learn
• http://pystruct.github.io
• https://github.com/pystruct/pystruct
• http://amueller.github.io/word_cloud
• https://github.com/amueller/word_cloud
• http://shop.oreilly.com/product/0636920043836.do
• https://github.com/amueller/talks_odt
• https://github.com/amueller/scipy-2016-sklearn
• https://www.youtube.com/watch?v=Cte8FYCpylk
• https://github.com/jakevdp/sklearn_scipy2013
• https://github.com/amueller/scipy_2015_sklearn_tutorial
• https://www.youtube.com/watch?v=Ud-FsEWegmA
• https://speakerdeck.com/amueller/machine-learning-with-scikit-learn-odsc-sf-2015
• https://github.com/amueller/odscon-sf-2015
• https://speakerdeck.com/amueller/large-scale-non-linear-learning-pygotham-2015
• http://www.oreilly.com/pub/e/3363
• https://github.com/amueller/pydata-amsterdam-2016
• https://github.com/amueller/talks_odt/raw/master/machine-learning-with-scikit-learn-strata-2015.pdf
• https://github.com/amueller/pydata-strata-2015
• https://github.com/amueller/pydata-nyc-advanced-sklearn
• http://arxiv.org/pdf/1412.3919
• http://arxiv.org/pdf/1309.0238
• http://dagm2012.icg.tugraz.at/
• https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg4OE8NeMGrNpsb48e5zvXUEaFXSeKO1D1JpmvBT5xhxXDsKoi3xPRg1yPr6T6M6CwbZ6pwBCIUhATsjkR3TiGrE9upMgXUaJQUJdu6LtnB0dHlnCzc-BvqVOrhiAHTXyK_FSL-iXJ0i3A/s1600/drop_shadows_background.png
• http://peekaboo-vision.blogspot.com/2013/01/machine-learning-cheat-sheet-for-scikit.html
• http://scikit-learn.org/dev/tutorial/machine_learning_map/index.html
• https://github.com/amueller
• https://twitter.com/amuellerml
• https://www.linkedin.com/in/andreas-mueller-b370265a
• https://peekaboo-vision.blogsplot.com