arnaudbenard/list.md

Last active November 18, 2015 19:01

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ML resources

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list.md

Classes/Lectures

Academic

Machine Learning by Andrew Ng (Stanford) https://class.coursera.org/ml-003/lecture / https://www.youtube.com/view_play_list?p=A89DCFA6ADACE599
Machine Learning by Tom Mitchell (CMU - graduate level) https://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml
Mining Massive Datasets https://www.coursera.org/course/mmds
Recommender systems https://www.coursera.org/learn/recommender-systems

Tutorials

SciKit Learn tutorial http://scikit-learn.org/stable/tutorial/index.html

Developer oriented

Hacker's guide to Neural Networks http://karpathy.github.io/neuralnets/
Machine Learning for Developers http://xyclade.github.io/MachineLearning/

Competitions

Kaggle https://inclass.kaggle.com/

Books

Data Science from Scratch: First Principles with Python http://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X/ref=zg_bs_3654_1

Libraries

http://pandas.pydata.org/

Data sources

http://blog.thedataincubator.com/2014/10/data-sources-for-cool-data-science-projects-part-1/

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