Data science blogs

A curated list of data science blogs

• Agile Data Science http://blog.sense.io/ (RSS)
• Airbnb Data blog http://nerds.airbnb.com/data/ (RSS)
• Analytics Vidhya http://www.analyticsvidhya.com/blog/ (RSS)
• Andrej Karpathy blog http://karpathy.github.io/ (RSS)
• Beautiful Data http://beautifuldata.net/ (RSS)
• Beckerfuffle http://mdbecker.github.io/ (RSS)
• Becoming A Data Scientist http://www.becomingadatascientist.com/ (RSS)
• Big-Ish Data http://bigishdata.com/ (RSS)
• Carl Shan http://carlshan.com/ (RSS)
• Christophe Bourguignat https://medium.com/@chris_bour (RSS)
• Daniel Forsyth http://www.danielforsyth.me/ (RSS)
• Daniel Nee http://danielnee.com (RSS)
• Data Based Inventions http://datalab.lu/ (RSS)
• Data Mining Research http://www.dataminingblog.com/ (RSS)
• Data Mining: Text Mining, Visualization and Social Mediahttp://datamining.typepad.com/data_mining/ (RSS)
• Data Science 101 http://101.datascience.community/ (RSS)
• Data Science @ Facebook https://research.facebook.com/blog/datascience/ (RSS)
• Data Science Tutorials https://codementor.io/data-science/tutorial (RSS)
• DataGenetics http://datagenetics.com/blog.html (RSS)
• Dataaspirant http://dataaspirant.com/ (RSS)
• Dataquest Blog https://www.dataquest.io/blog/ (RSS)
• Dato Blog http://blog.dato.com/ (RSS)
• Dayne Batten http://daynebatten.com (RSS)
• Deep Learning http://deeplearning.net/feed/ (RSS)
• Deep Learning https://timdettmers.wordpress.com/ (RSS)
• Domino Data Lab‘s blog http://blog.dominodatalab.com/ (RSS)
• Dr. Randal S. Olson http://www.randalolson.com/blog/ (RSS)
• Edwin Chen http://blog.echen.me (RSS)
• Emilio Ferrara, Ph.D. http://www.emilio.ferrara.name/ (RSS)
• Entrepreneurial Geekiness http://ianozsvald.com/ (RSS)
• Eric Siegel http://www.predictiveanalyticsworld.com/blog (RSS)
• Fabian Pedregosa http://fa.bianp.net/ (RSS)
• FastML http://fastml.com/ (RSS)
• Garbled Notes http://www.chioka.in/ (RSS)
• Greg Reda http://www.gregreda.com/blog/ (RSS)
• I Quant NY http://iquantny.tumblr.com/ (RSS)
• I’m a bandit https://blogs.princeton.edu/imabandit/ (RSS)
• Jonas Degrave http://317070.github.io/ (RSS)
• Joy Of Data http://www.joyofdata.de/blog/ (RSS)
• Julia Evans http://jvns.ca/ (RSS)
• KDnuggets http://www.kdnuggets.com/ (RSS)
• Kenny Bastani http://www.kennybastani.com/ (RSS)
• Kevin Davenport http://kldavenport.com/ (RSS)
• Large Scale Machine Learning http://bickson.blogspot.com/ (RSS)
• Life, Language, Learning http://daoudclarke.github.io/ (RSS)
• Louis Dorard http://www.louisdorard.com/blog/ (RSS)
• M.E.Driscoll http://medriscoll.com/ (RSS)
• MLWave http://mlwave.com/ (RSS)
• Machine Learning https://charlesmartin14.wordpress.com/ (RSS)
• Machine Learning (Theory) http://hunch.net/ (RSS)
• Machine Learning Mastery http://machinelearningmastery.com/blog/ (RSS)
• Machine Learning and Data Science http://alexhwoods.com/ (RSS)
• Machined Learnings http://www.machinedlearnings.com/ (RSS)
• Math ∩ Programming http://jeremykun.com/ (RSS)
• Matthew Rocklin http://matthewrocklin.com/blog/ (RSS)
• Mic Farris http://www.micfarris.com/ (RSS)
• Models are illuminating and wrong https://peadarcoyle.wordpress.com/ (RSS)
• Nuit Blanche http://nuit-blanche.blogspot.com/ (RSS)
• Plotly Blog http://blog.plot.ly/ (RSS)
• Prooffreader.com http://www.prooffreader.com (RSS)
• ProoffreaderPlus http://prooffreaderplus.blogspot.ca/ (RSS)
• PyImageSearch http://www.pyimagesearch.com/ (RSS)
• Pythonic Perambulations https://jakevdp.github.io/ (RSS)
• R-bloggers http://www.r-bloggers.com/ (RSS)
• Rayli.Net http://rayli.net/blog/ (RSS)
• Revolutions http://blog.revolutionanalytics.com/ (RSS)
• Rocket-Powered Data Science http://rocketdatascience.org (RSS)
• Sebastian Raschka http://sebastianraschka.com/articles.html (RSS)
• Simply Statistics http://simplystatistics.org (RSS)
• Stitch Fix Tech Blog http://multithreaded.stitchfix.com/blog/ (RSS)
• TechNet http://blogs.technet.com/b/machinelearning/default.aspx (RSS)
• The Angry Statistician http://angrystatistician.blogspot.com/ (RSS)
• The Data Camp Blog http://blog.datacamp.com (RSS)
• The Data Science Lab https://datasciencelab.wordpress.com/ (RSS)
• The Science of Data http://www.martingoodson.com (RSS)
• The Shape of Data https://shapeofdata.wordpress.com (RSS)
• Tombone‘s Computer Vision Blog http://www.computervisionblog.com/ (RSS)
• Trevor Stephens http://trevorstephens.com/ (RSS)
• Trey Causey http://treycausey.com/ (RSS)
• Wellecks http://wellecks.wordpress.com/ (RSS)
• While My MCMC Gently Samples http://twiecki.github.io/ (RSS)
• Will do stuff for stuff http://rinzewind.org/blog-en (RSS)
• Yanir Seroussi http://yanirseroussi.com/ (RSS)
• Zac Stewart http://zacstewart.com/ (RSS)
• blog += 1 http://snippyhollow.github.io/ (RSS)
• colah‘s blog http://colah.github.io/archive.html (RSS)
• i am trask http://iamtrask.github.io/ (RSS)
• no free hunch http://blog.kaggle.com/ (RSS)
• samim https://medium.com/@samim (RSS)
• ?hat http://blog.yhathq.com/ (RSS)

RSS

You can import an opml file to your favorite RSS reader.
Also you can add a feed where the list is always up to date.

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.

Data science blogs

原文：http://www.cnblogs.com/yymn/p/4719237.html