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/)
• Domino Data Lab's blog http://blog.dominodatalab.com/ [(RSS)] (http://blog.dominodatalab.com/rss/)
• 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)
• Sebastian Raschka http://sebastianraschka.com/articles.html [(RSS)] (http://sebastianraschka.com/rss_feed.xml)
• Edwin Chen http://blog.echen.me [(RSS)] (http://blog.echen.me/feeds/all.rss.xml)
• Simply Statistics http://simplystatistics.org [(RSS)] (http://simplystatistics.org/feed/)
• Will do stuff for stuff http://rinzewind.org/blog-en [(RSS)] (http://rinzewind.org/feed-en)
• 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/)
• Data Science 101 http://101.datascience.community/ [(RSS)] (http://101.datascience.community/feed/)
• R-bloggers http://www.r-bloggers.com/ [(RSS)] (http://feeds.feedburner.com/RBloggers)
• Stitch Fix Tech Blog http://multithreaded.stitchfix.com/blog/ [(RSS)] (http://multithreaded.stitchfix.com/feed.xml)
• DataGenetics http://datagenetics.com/blog.html [(RSS)] (http://datagenetics.com/feed/rss.xml)
• Dataquest Blog https://www.dataquest.io/blog/ [(RSS)] (https://www.dataquest.io/blog/atom.xml)
• Julia Evans http://jvns.ca/ [(RSS)] (http://jvns.ca/atom.xml)
• Data Science Tutorials https://codementor.io/data-science/tutorial [(RSS)] (https://www.codementor.io/data-science/tutorial/feed)
• I Quant NY http://iquantny.tumblr.com/ [(RSS)] (http://iquantny.tumblr.com/rss)
• Data Science @ Facebook https://research.facebook.com/blog/datascience/ [(RSS)] (https://research.facebook.com/blog/rss)
• Dayne Batten http://daynebatten.com [(RSS)] (http://daynebatten.com/feed/)
• Agile Data Science http://blog.sense.io/ [(RSS)] (http://blog.sense.io/rss/)
• Machine Learning https://charlesmartin14.wordpress.com/ [(RSS)] (http://charlesmartin14.wordpress.com/feed/)
• Greg Reda http://www.gregreda.com/blog/ [(RSS)] (http://www.gregreda.com/feeds/all.atom.xml)
• Kevin Davenport http://kldavenport.com/ [(RSS)] (http://kldavenport.com/feed/)
• Becoming A Data Scientist http://www.becomingadatascientist.com/ [(RSS)] (http://www.becomingadatascientist.com/feed/)
• Math ∩ Programming http://jeremykun.com/ [(RSS)] (http://jeremykun.wordpress.com/feed/)
• Louis Dorard http://www.louisdorard.com/blog/ [(RSS)] (http://www.louisdorard.com/blog?format=rss)
• Daniel Forsyth http://www.danielforsyth.me/ [(RSS)] (http://www.danielforsyth.me/rss/)
• Mic Farris http://www.micfarris.com/ [(RSS)] (http://www.micfarris.com/feed/)
• Emilio Ferrara, Ph.D. http://www.emilio.ferrara.name/ [(RSS)] (http://www.emilio.ferrara.name/feed/)
• The Data Science Lab https://datasciencelab.wordpress.com/ [(RSS)] (http://datasciencelab.wordpress.com/feed/)
• Kenny Bastani http://www.kennybastani.com/ [(RSS)] (http://www.kennybastani.com/feeds/posts/default?alt=rss)
• Machine Learning Mastery http://machinelearningmastery.com/blog/ [(RSS)] (http://machinelearningmastery.com/feed/)
• Dato Blog http://blog.dato.com/ [(RSS)] (http://blog.dato.com/rss.xml)
• Data Based Inventions http://datalab.lu/ [(RSS)] (http://datalab.lu/atom.xml)
• Big-Ish Data http://bigishdata.com/ [(RSS)] (http://bigishdata.com/feed/)
• The Science of Data http://www.martingoodson.com [(RSS)] (http://www.martingoodson.com/rss/)
• The Data Camp Blog http://blog.datacamp.com [(RSS)] (http://blog.datacamp.com/feed/)
• Matthew Rocklin http://matthewrocklin.com/blog/ [(RSS)] (http://matthewrocklin.com/blog/atom.xml)
• blog += 1 http://snippyhollow.github.io/ [(RSS)] (http://snippyhollow.github.io/atom.xml)
• Beautiful Data http://beautifuldata.net/ [(RSS)] (http://beautifuldata.net/feed/)
• The Angry Statistician http://angrystatistician.blogspot.com/ [(RSS)] (http://angrystatistician.blogspot.com/feeds/posts/default)
• Plotly Blog http://blog.plot.ly/ [(RSS)] (http://blog.plot.ly/rss)
• TechNet http://blogs.technet.com/b/machinelearning/default.aspx [(RSS)] (http://blogs.technet.com/b/machinelearning/rss.aspx)
• Eric Siegel http://www.predictiveanalyticsworld.com/blog [(RSS)] (http://feeds.feedburner.com/predictiveanalyticsworld/GXRy)
• Daniel Nee http://danielnee.com [(RSS)] (http://danielnee.com/?feed=rss2)
• Airbnb Data blog http://nerds.airbnb.com/data/ [(RSS)] (http://nerds.airbnb.com/feed/)

RSS

You can import an [opml file] (./data-science.opml) to your favorite RSS reader.

Blog post frequency (roughly)

All blogs - 64 per week / 202 per month.
Without KDnuggets, R-bloggers and Nuit Blanche - 21 per week / 109 per month.

Contributing

Your contributions are always welcome!