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)
- Tombone's Computer Vision Blog http://www.computervisionblog.com/ [(RSS)] (http://www.computervisionblog.com/feeds/posts/default)
- I’m a bandit https://blogs.princeton.edu/imabandit/ [(RSS)] (https://blogs.princeton.edu/imabandit/feed/)
You can import an [opml file] (./data-science.opml) to your favorite RSS reader.
Your contributions are always welcome!