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Notes from Jalem Raj Rohit AMA on devup.in
Competitions:-
https://www.kaggle.com/
https://www.hackerearth.com/
Books:-
Introduction to Algorithms By Thomas H Cormen
Pattern Recognition and Machine Learning By Christopher M. Bishop
Freakonomics By Steven D. Levitt and Stephen J. Dubner
Courses:-
Machine Learning By Andrew Ng, Stanford University
https://www.coursera.org/learn/machine-learning
Math Courses, MIT Open Courseware
http://ocw.mit.edu/courses/find-by-topic/#cat=mathematics
Convex Optimization, Stanford University
https://lagunita.stanford.edu/courses/Engineering/CVX101/Winter2014/about
Mining Massive Datasets
https://www.coursera.org/course/mmds
Caltech ML
http://work.caltech.edu/telecourse
Introduction to Data Science
https://www.coursera.org/course/datasci
R Programming
https://www.coursera.org/learn/r-programming
Links:-
http://www.analyticsvidhya.com/
https://fivethirtyeight.com/
https://www.reddit.com/r/dataisbeautiful
https://www.quora.com/topic/Data-Science
http://neuralnetworksanddeeplearning.com/index.html
https://arxiv.org/
Forums:-
https://www.kaggle.com/forums
https://datascience.stackexchange.com/
http://www.kdnuggets.com/phpBB/
Podcasts:-
https://datascience.stackexchange.com/questions/9000/data-science-podcasts
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