Data science blogs

A curated list of data science blogs

• Analytics Vidhya http://www.analyticsvidhya.com/blog/ [(RSS)] (http://feeds.feedburner.com/AnalyticsVidhya)
• Dataaspirant http://dataaspirant.com/ [(RSS)] (http://dataaspirant.wordpress.com/feed/)
• Dr. Randal S. Olson http://www.randalolson.com/blog/ [(RSS)] (http://www.randalolson.com/feed/)
• Entrepreneurial Geekiness http://ianozsvald.com/ [(RSS)] (http://ianozsvald.com/feed/)
• no free hunch http://blog.kaggle.com/ [(RSS)] (http://blog.kaggle.com/feed/)
• Pythonic Perambulations https://jakevdp.github.io/ [(RSS)] (http://jakevdp.github.com/atom.xml)
• Rayli.Net http://rayli.net/blog/ [(RSS)] (http://rayli.net/blog/feed/)
• ŷhat http://blog.yhathq.com/ [(RSS)] (http://blog.yhathq.com/rss.xml)
• Beckerfuffle http://mdbecker.github.io/ [(RSS)] (http://mdbecker.github.io/atom.xml)
• Carl Shan http://carlshan.com/ [(RSS)] (http://feeds.feedburner.com/carlshan)
• Data Mining: Text Mining, Visualization and Social Media http://datamining.typepad.com/data_mining/ [(RSS)] (http://datamining.typepad.com/data_mining/atom.xml)
• FastML http://fastml.com/ [(RSS)] (http://fastml.com/atom.xml)
• Garbled Notes http://www.chioka.in/ [(RSS)] (http://www.chioka.in/feed/)
• Joy Of Data http://www.joyofdata.de/blog/ [(RSS)] (http://www.joyofdata.de/blog/feed/)
• MLWave http://mlwave.com/ [(RSS)] (http://mlwave.com/feed/)
• Trevor Stephens http://trevorstephens.com/ [(RSS)] (http://trevorstephens.com/rss)
• While My MCMC Gently Samples http://twiecki.github.io/ [(RSS)] (http://twiecki.github.io/atom.xml)
• Zac Stewart http://zacstewart.com/ [(RSS)] (http://zacstewart.com/feed.xml)
• Machined Learnings http://www.machinedlearnings.com/ [(RSS)] (http://www.machinedlearnings.com/feeds/posts/default)
• Deep Learning http://deeplearning.net/feed/ [(RSS)] (http://deeplearning.net/feed/)
• Nuit Blanche http://nuit-blanche.blogspot.com/ [(RSS)] (http://nuit-blanche.blogspot.com/feeds/posts/default)
• Machine Learning (Theory) http://hunch.net/ [(RSS)] (http://hunch.net/?feed=rss2)
• Large Scale Machine Learning http://bickson.blogspot.com/ [(RSS)] (http://bickson.blogspot.com/feeds/posts/default)
• Revolutions http://blog.revolutionanalytics.com/ [(RSS)] (http://blog.revolutionanalytics.com/atom.xml)
• KDnuggets http://www.kdnuggets.com/ [(RSS)] (http://feeds.feedburner.com/kdnuggets-data-mining-analytics)
• Wellecks http://wellecks.wordpress.com/ [(RSS)] (http://wellecks.wordpress.com/feed/)
• PyImageSearch http://www.pyimagesearch.com/ [(RSS)] (http://feeds.feedburner.com/Pyimagesearch)
• Data Mining Research http://www.dataminingblog.com/ [(RSS)] (http://feeds.feedburner.com/dataminingblog)
• Trey Causey http://treycausey.com/ [(RSS)] (http://treycausey.com/feeds/all.atom.xml)
• Deep Learning https://timdettmers.wordpress.com/ [(RSS)] (http://timdettmers.wordpress.com/feed/)
• Machine Learning and Data Science http://alexhwoods.com/ [(RSS)] (http://alexhwoods.com/feed/)
• i am trask http://iamtrask.github.io/ [(RSS)] (http://iamtrask.github.io/feed.xml)
• Jonas Degrave http://317070.github.io/ [(RSS)] (http://317070.github.io/feed.xml)
• Yanir Seroussi http://yanirseroussi.com/ [(RSS)] (http://yanirseroussi.com/feed/)
• Life, Language, Learning http://daoudclarke.github.io/ [(RSS)] (http://daoudclarke.github.io/atom.xml)
• M.E.Driscoll http://medriscoll.com/ [(RSS)] (http://medriscoll.com/rss)
• Models are illuminating and wrong https://peadarcoyle.wordpress.com/ [(RSS)] (http://peadarcoyle.wordpress.com/feed/)
• Christophe Bourguignat https://medium.com/@chris_bour [(RSS)] (https://medium.com/feed/@chris_bour)
• samim https://medium.com/@samim [(RSS)] (https://medium.com/feed/@samim)
• Andrej Karpathy blog http://karpathy.github.io/ [(RSS)] (http://karpathy.github.io/feed.xml)
• colah's blog http://colah.github.io/archive.html [(RSS)] (http://colah.github.io/rss.xml)

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