# data-science-blogs

**Repository Path**: william533036/data-science-blogs

## Basic Information

- **Project Name**: data-science-blogs
- **Description**: A curated list of data science blogs
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-04-18
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Data science blogs
A curated list of data science blogs

* A Blog From a Human-engineer-being http://www.erogol.com/ [(RSS)](http://www.erogol.com/feed/)
* Aakash Japi http://aakashjapi.com/ [(RSS)](http://logicx24.github.io/feed.xml)
* Abhinav Sagar https://medium.com/@abhinav.sagar [(RSS)](https://medium.com/feed/@abhinav.sagar)
* Adit Deshpande https://adeshpande3.github.io/ [(RSS)](https://adeshpande3.github.io/adeshpande3.github.io/feed.xml)
* Advanced Analytics & R http://advanceddataanalytics.net/ [(RSS)](http://advanceddataanalytics.net/feed/)
* Adventures in Data Land http://blog.smola.org [(RSS)](http://blog.smola.org/rss)
* Agile Data Science http://blog.sense.io/ [(RSS)](http://blog.sense.io/rss/)
* Ahmed BESBES https://ahmedbesbes.com/ [(RSS)](https://ahmedbesbes.com/feeds/all.atom.xml)
* Ahmed El Deeb https://medium.com/@D33B [(RSS)](https://medium.com/feed/@D33B)
* Airbnb Data blog https://medium.com/airbnb-engineering/tagged/data-science [(RSS)](https://medium.com/airbnb-engineering/tagged/data-science)
* Alex Castrounis | InnoArchiTech http://www.innoarchitech.com/ [(RSS)](http://www.innoarchitech.com/feed.xml)
* Alex Perrier http://alexisperrier.com/ [(RSS)](http://alexisperrier.com//feed.xml)
* Algobeans | Data Analytics Tutorials & Experiments for the Layman https://algobeans.com [(RSS)](https://algobeans.com/feed/)
* Amazon AWS AI Blog https://aws.amazon.com/blogs/ai/ [(RSS)](https://aws.amazon.com/blogs/amazon-ai/feed/)
* Amit Chaudhary https://amitness.com [(RSS)](https://amitness.com/atom.xml)
* Analytics Vidhya http://www.analyticsvidhya.com/blog/ [(RSS)](http://feeds.feedburner.com/AnalyticsVidhya)
* Analytics and Visualization in Big Data @ Sicara https://blog.sicara.com [(RSS)](https://blog.sicara.com/feed)
* Andreas Müller http://peekaboo-vision.blogspot.com/ [(RSS)](http://peekaboo-vision.blogspot.com/atom.xml)
* Andrej Karpathy blog http://karpathy.github.io/ [(RSS)](http://karpathy.github.io/feed.xml)
* Andrey Vasnetsov https://comprehension.ml/ [(RSS)](https://comprehension.ml/index.xml)
* Andrew Brooks http://brooksandrew.github.io/simpleblog/ [(RSS)](http://brooksandrew.github.io/simpleblog/feed.xml)
* Andrey Kurenkov http://www.andreykurenkov.com/writing/ [(RSS)](http://www.andreykurenkov.com/writing/feed.xml/)
* Anton Lebedevich's Blog http://mabrek.github.io/ [(RSS)](http://mabrek.github.io/feed.xml)
* Arthur Juliani https://medium.com/@awjuliani [(RSS)](https://medium.com/feed/@awjuliani)
* Audun M. Øygard http://www.auduno.com/ [(RSS)](http://auduno.tumblr.com/rss)
* Avi Singh https://avisingh599.github.io/ [(RSS)](http://avisingh599.github.io/feed.xml)
* Beautiful Data http://beautifuldata.net/ [(RSS)](http://beautifuldata.net/feed/)
* Beckerfuffle http://mdbecker.github.io/ [(RSS)](http://mdbecker.github.io/atom.xml)
* Becoming A Data Scientist http://www.becomingadatascientist.com/ [(RSS)](http://www.becomingadatascientist.com/feed/)
* Ben Bolte's Blog http://benjaminbolte.com/ml/ [(RSS)](http://benjaminbolte.com/ml/)
* Ben Frederickson http://www.benfrederickson.com/blog/ [(RSS)](http://www.benfrederickson.com/atom.xml)
* Berkeley AI Research http://bair.berkeley.edu/blog/ [(RSS)](http://bair.berkeley.edu/blog/feed.xml)
* Big-Ish Data http://bigishdata.com/ [(RSS)](http://bigishdata.com/feed/)
* Blog on neural networks http://yerevann.github.io/ [(RSS)](http://yerevann.github.io/atom.xml)
* Blogistic Regression https://wcbeard.github.io/blog/ [(RSS)](https://wcbeard.github.io/blog/feed.xml)
* blogR | R tips and tricks from a scientist https://drsimonj.svbtle.com/ [(RSS)](https://drsimonj.svbtle.com/)
* Brain of mat kelcey http://matpalm.com/blog/ [(RSS)](http://matpalm.com/blog/feed)
* Brilliantly wrong thoughts on science and programming https://arogozhnikov.github.io/ [(RSS)](http://arogozhnikov.github.io/feed.xml)
* Bugra Akyildiz http://bugra.github.io/ [(RSS)](http://bugra.github.io/feeds/all.atom.xml)
* Building Babylon https://building-babylon.net/ [(RSS)](http://building-babylon.net/feed/)
* Carl Shan http://carlshan.com/ [(RSS)](http://feeds.feedburner.com/carlshan)
* Chris Stucchio https://www.chrisstucchio.com/blog/index.html [(RSS)](http://www.chrisstucchio.com/blog/atom.xml)
* Christophe Bourguignat https://medium.com/@chris_bour [(RSS)](https://medium.com/feed/@chris_bour)
* Christopher Nguyen https://medium.com/@ctn [(RSS)](https://medium.com/feed/@ctn)
* Cloudera Data Science Posts http://blog.cloudera.com/blog/category/data-science/ [(RSS)](http://blog.cloudera.com/blog/category/data-science/feed/)
* cnvrg.io blog https://blog.cnvrg.io/ [(RSS)](https://blog.cnvrg.io/)
* colah's blog http://colah.github.io/archive.html [(RSS)](http://colah.github.io/rss.xml)
* Cortana Intelligence and Machine Learning Blog https://blogs.technet.microsoft.com/machinelearning/ [(RSS)](http://blogs.technet.com/b/machinelearning/rss.aspx)
* Daniel Forsyth http://www.danielforsyth.me/ [(RSS)](http://www.danielforsyth.me/rss/)
* Daniel Homola http://danielhomola.com/category/blog/ [(RSS)](http://danielhomola.com/feed/)
* Daniel Nee http://danielnee.com [(RSS)](http://danielnee.com/?feed=rss2)
* Data Based Inventions http://datalab.lu/ [(RSS)](http://datalab.lu/atom.xml)
* Data Blogger https://www.data-blogger.com/ [(RSS)](https://www.data-blogger.com/feed/)
* Data Double Confirm https://projectosyo.wixsite.com/datadoubleconfirm [(RSS)](https://projectosyo.wixsite.com/datadoubleconfirm/feed.xml)
* Data Labs http://blog.insightdatalabs.com/ [(RSS)](http://blog.insightdatalabs.com/rss/)
* Data Meets Media http://datameetsmedia.com/ [(RSS)](http://datameetsmedia.com/feed/)
* Data Miners Blog http://blog.data-miners.com/ [(RSS)](http://blog.data-miners.com/feeds/posts/default?alt=rss)
* Data Mining Research http://www.dataminingblog.com/ [(RSS)](http://feeds.feedburner.com/dataminingblog)
* Data Mining: Text Mining, Visualization and Social Media http://datamining.typepad.com/data_mining/ [(RSS)](http://datamining.typepad.com/data_mining/atom.xml)
* Data Piques http://blog.ethanrosenthal.com/ [(RSS)](http://blog.ethanrosenthal.com/feeds/all.atom.xml)
* Data School http://www.dataschool.io/ [(RSS)](http://www.dataschool.io/rss/)
* Data Science 101 http://101.datascience.community/ [(RSS)](http://101.datascience.community/feed/)
* Data Science @ Facebook https://research.fb.com/category/data-science/ [(RSS)](https://research.fb.com/category/data-science/feed/)
* Data Science Dojo Blog https://blog.datasciencedojo.com/ [(RSS)](https://blog.datasciencedojo.com/rss/)
* Data Science Insights http://www.datasciencebowl.com/data-science-insights/ [(RSS)](http://www.datasciencebowl.com/feed/)
* Data Science Plus https://datascienceplus.com/ [(RSS)](https://datascienceplus.com/feed/)
* Data Science Tutorials https://codementor.io/data-science/tutorial [(RSS)](https://www.codementor.io/data-science/tutorial/feed)
* Data Science Vademecum http://datasciencevademecum.wordpress.com/ [(RSS)](http://datasciencevademecum.wordpress.com/feed/)
* Data Science Notebook http://uconn.science/ [(RSS)](http://uconn.science/feed/)
* Dataaspirant http://dataaspirant.com/ [(RSS)](http://dataaspirant.wordpress.com/feed/)
* Dataclysm https://theblog.okcupid.com/tagged/data [(RSS)](https://medium.com/feed/okcupid/tagged/data)
* DataGenetics http://datagenetics.com/blog.html [(RSS)](http://datagenetics.com/feed/rss.xml)
* Dataiku https://www.dataiku.com/blog/ [(RSS)](http://www.dataiku.com/feed.xml)
* DataKind http://www.datakind.org/blog [(RSS)](http://feeds.feedburner.com/DataKin)
* DataLook http://blog.datalook.io/ [(RSS)](http://blog.datalook.io/feed/)
* Datanice https://datanice.wordpress.com/ [(RSS)](https://datanice.wordpress.com/feed/)
* Dataquest Blog https://www.dataquest.io/blog/ [(RSS)](https://www.dataquest.io/blog/atom.xml)
* DataRobot http://www.datarobot.com/blog/ [(RSS)](http://www.datarobot.com/feed/)
* Datascienceblog.net https://www.datascienceblog.net [(RSS)](https://www.datascienceblog.net/post/index.xml)
* Datascope http://datascopeanalytics.com/blog [(RSS)](http://datascopeanalytics.com/rss)
* DatasFrame http://tomaugspurger.github.io/ [(RSS)](http://tomaugspurger.github.io/feeds/all.rss.xml)
* David Mimno http://www.mimno.org/ [(RSS)](http://mimno.infosci.cornell.edu/b/feed.xml)
* David Robinson http://varianceexplained.org/
[(RSS)](http://varianceexplained.org/feed.xml)
* Dayne Batten http://daynebatten.com [(RSS)](http://daynebatten.com/feed/)
* Deep Learning http://deeplearning.net/blog/ [(RSS)](http://deeplearning.net/feed/)
* Deepdish http://deepdish.io/ [(RSS)](http://deepdish.io/atom.xml)
* Delip Rao http://deliprao.com/ [(RSS)](http://deliprao.com/feed)
* DENNY'S BLOG http://blog.dennybritz.com/ [(RSS)](http://blog.dennybritz.com/feed/)
* Dimensionless https://dimensionless.in/blog/ [(RSS)](https://dimensionless.in/feed)
* Distill http://distill.pub/ [(RSS)](http://distill.pub/rss.xml)
* District Data Labs https://www.districtdatalabs.com/blog
* Diving into data https://blog.datadive.net/ [(RSS)](http://blog.datadive.net/feed/)
* Domino Data Lab's blog http://blog.dominodatalab.com/ [(RSS)](http://blog.dominodatalab.com/rss/)
* Dr. Randal S. Olson http://www.randalolson.com/blog/ [(RSS)](http://www.randalolson.com/feed/)
* Drew Conway https://medium.com/@drewconway [(RSS)](https://medium.com/feed/@drewconway)
* Dustin Tran http://dustintran.com/blog/ [(RSS)](http://dustintran.com/blog/rss/)
* Eder Santana https://edersantana.github.io/blog.html [(RSS)](http://edersantana.github.io/feed.xml)
* Edwin Chen http://blog.echen.me [(RSS)](http://blog.echen.me/feeds/all.rss.xml)
* EFavDB http://efavdb.com/ [(RSS)](http://efavdb.com/feed/)
* Eigenfoo https://eigenfoo.xyz/ [(RSS)](https://eigenfoo.xyz/feed.xml)
* Emilio Ferrara, Ph.D.  http://www.emilio.ferrara.name/ [(RSS)](http://www.emilio.ferrara.name/feed/)
* Entrepreneurial Geekiness http://ianozsvald.com/ [(RSS)](http://ianozsvald.com/feed/)
* Eric Jonas http://ericjonas.com/archives.html [(RSS)](http://ericjonas.com/archives.html)
* Eric Siegel http://www.predictiveanalyticsworld.com/blog [(RSS)](http://feeds.feedburner.com/predictiveanalyticsworld/GXRy)
* Erik Bern http://erikbern.com [(RSS)](http://erikbern.com/feed/)
* ERIN SHELLMAN http://www.erinshellman.com/ [(RSS)](http://www.erinshellman.com/feed/)
* Eugenio Culurciello http://culurciello.github.io/ [(RSS)](http://culurciello.github.io/feed.xml)
* Fabian Pedregosa http://fa.bianp.net/ [(RSS)](http://fa.bianp.net/blog/feed/)
* Fast Forward Labs http://blog.fastforwardlabs.com/ [(RSS)](http://blog.fastforwardlabs.com/feed.xml)
* FastML http://fastml.com/ [(RSS)](http://fastml.com/atom.xml)
* Florian Hartl http://florianhartl.com/ [(RSS)](http://florianhartl.com/feed/)
* FlowingData http://flowingdata.com/ [(RSS)](http://flowingdata.com/feed/)
* Full Stack ML http://fullstackml.com/ [(RSS)](http://fullstackml.com/feed/)
* GAB41 http://www.lab41.org/gab41/ [(RSS)](http://www.lab41.org/feed/)
* Garbled Notes http://www.chioka.in/ [(RSS)](http://www.chioka.in/feed.xml)
* Gradient Metrics Blog http://gradientmetrics.com/blog [(RSS)](http://gradientmetrics.com/feed)
* Grate News Everyone http://gratenewseveryone.wordpress.com/ [(RSS)](https://gratenewseveryone.wordpress.com/feed/)
* Greg Reda http://www.gregreda.com/blog/ [(RSS)](http://www.gregreda.com/feeds/all.atom.xml)
* i am trask http://iamtrask.github.io/ [(RSS)](http://iamtrask.github.io/feed.xml)
* I Quant NY http://iquantny.tumblr.com/ [(RSS)](http://iquantny.tumblr.com/rss)
* inFERENCe http://www.inference.vc/ [(RSS)](http://www.inference.vc/rss/)
* Insight Data Science https://blog.insightdatascience.com/ [(RSS)](https://blog.insightdatascience.com/feed)
* INSPIRATION INFORMATION http://myinspirationinformation.com/ [(RSS)](http://myinspirationinformation.com/feed/)
* Ira Korshunova http://irakorshunova.github.io/ [(RSS)](http://irakorshunova.github.io/feed.xml)
* I’m a bandit https://blogs.princeton.edu/imabandit/ [(RSS)](https://blogs.princeton.edu/imabandit/feed/)
* Java Machine Learning and DeepLearning http://ramok.tech/machine-learning/ [(RSS)](http://ramok.tech/feed/)
* Jason Toy http://www.jtoy.net/ [(RSS)](http://jtoy.net/atom.xml)
* Jeremy D. Jackson, PhD http://www.jeremydjacksonphd.com/ [(RSS)](http://www.jeremydjacksonphd.com/?feed=rss2)
* Jesse Steinweg-Woods https://jessesw.com/ [(RSS)](https://jessesw.com/feed.xml)
* John Myles White http://www.johnmyleswhite.com/ [(RSS)](http://www.johnmyleswhite.com/feed/)
* Jonas Degrave http://317070.github.io/ [(RSS)](http://317070.github.io/feed.xml)
* Joy Of Data http://www.joyofdata.de/blog/ [(RSS)](http://www.joyofdata.de/blog/feed/)
* Julia Evans http://jvns.ca/ [(RSS)](http://jvns.ca/atom.xml)
* jWork.ORG.  https://jwork.org/ [(RSS)](https://jwork.org/main/rss.xml)
* Kavita Ganesan's NLP and Text Mining Blog http://kavita-ganesan.com/ [(RSS)](http://kavita-ganesan.com/feed/atom)
* KDnuggets http://www.kdnuggets.com/ [(RSS)](http://feeds.feedburner.com/kdnuggets-data-mining-analytics)
* Keeping Up With The Latest Techniques http://colinpriest.com/ [(RSS)](http://colinpriest.com/feed/)
* Kenny Bastani http://www.kennybastani.com/ [(RSS)](http://www.kennybastani.com/feeds/posts/default?alt=rss)
* Kevin Davenport http://kldavenport.com/ [(RSS)](http://kldavenport.com/feed/)
* kevin frans http://kvfrans.com/ [(RSS)](http://kvfrans.com/rss/)
* korbonits | Math ∩ Data http://korbonits.github.io/ [(RSS)](http://korbonits.github.io/feed.xml)
* Large Scale Machine Learning  http://bickson.blogspot.com/ [(RSS)](http://bickson.blogspot.com/feeds/posts/default)
* LATERAL BLOG https://blog.lateral.io/ [(RSS)](https://blog.lateral.io/feed/)
* Lazy Programmer http://lazyprogrammer.me/ [(RSS)](http://lazyprogrammer.me/feed/)
* Learn Analytics Here https://learnanalyticshere.wordpress.com/ [(RSS)](https://learnanalyticshere.wordpress.com/feed/)
* LearnDataSci http://www.learndatasci.com/ [(RSS)](http://www.learndatasci.com/feed/)
* Learning With Data http://learningwithdata.com/ [(RSS)](http://learningwithdata.com/feeds/all.atom.xml)
* Life, Language, Learning http://daoudclarke.github.io/ [(RSS)](http://daoudclarke.github.io/atom.xml)
* Locke Data https://itsalocke.com/blog/ [(RSS)](https://itsalocke.com/feed)
* Louis Dorard http://www.louisdorard.com/blog/ [(RSS)](http://www.louisdorard.com/blog?format=rss)
* M.E.Driscoll http://medriscoll.com/ [(RSS)](http://medriscoll.com/rss)
* Machinalis http://www.machinalis.com/blog [(RSS)](http://www.machinalis.com/blog/feeds/rss/)
* Machine Learning (Theory) http://hunch.net/ [(RSS)](http://hunch.net/?feed=rss2)
* Machine Learning and Data Science http://alexhwoods.com/blog/ [(RSS)](http://alexhwoods.com/feed/)
* Machine Learning https://charlesmartin14.wordpress.com/ [(RSS)](http://charlesmartin14.wordpress.com/feed/)
* Machine Learning Mastery http://machinelearningmastery.com/blog/ [(RSS)](http://machinelearningmastery.com/feed/)
* Machine Learning Blogs https://machinelearningblogs.com/ [(RSS)](https://machinelearningblogs.com/feed/)
* Machine Learning, etc http://yaroslavvb.blogspot.com [(RSS)](http://yaroslavvb.blogspot.com/feeds/posts/default)
* Machine Learning, Maths and Physics https://mlopezm.wordpress.com/ [(RSS)](https://mlopezm.wordpress.com/feed/)
* Machined Learnings http://www.machinedlearnings.com/ [(RSS)](http://www.machinedlearnings.com/feeds/posts/default)
* MAPPING BABEL https://jack-clark.net/ [(RSS)](https://jack-clark.net/feed/)
* MAPR Blog https://mapr.com/blog/
* MAREK REI http://www.marekrei.com/blog/ [(RSS)](http://www.marekrei.com/blog/feed/)
* Mark White https://www.markhw.com/blog [(RSS)](https://www.markhw.com/blog?format=rss)
* MARGINALLY INTERESTING http://blog.mikiobraun.de/ [(RSS)](http://feeds.feedburner.com/MarginallyInteresting)
* Math ∩ Programming http://jeremykun.com/ [(RSS)](http://jeremykun.wordpress.com/feed/)
* Matthew Rocklin http://matthewrocklin.com/blog/ [(RSS)](http://matthewrocklin.com/blog/atom.xml)
* Mic Farris http://www.micfarris.com/ [(RSS)](http://www.micfarris.com/feed/)
* Mike Tyka http://mtyka.github.io/ [(RSS)](http://mtyka.github.io//feed.xml)
* minimaxir | Max Woolf's Blog http://minimaxir.com/ [(RSS)](http://minimaxir.com/rss.xml)
* Mirror Image https://mirror2image.wordpress.com/ [(RSS)](http://mirror2image.wordpress.com/feed/)
* Mitch Crowe http://www.mitchcrowe.com/ [(RSS)](http://feeds.feedburner.com/mitchcrowe/ydqG?format=xml)
* MLWave http://mlwave.com/ [(RSS)](http://mlwave.com/feed/)
* MLWhiz http://mlwhiz.com/ [(RSS)](http://mlwhiz.com/atom.xml)
* Models are illuminating and wrong https://peadarcoyle.wordpress.com/ [(RSS)](http://peadarcoyle.wordpress.com/feed/)
* Moody Rd http://blog.mrtz.org/ [(RSS)](http://blog.mrtz.org/feed.xml)
* Moonshots http://jxieeducation.com/ [(RSS)](http://jxieeducation.com/feed.xml)
* Mourad Mourafiq http://mourafiq.com/ [(RSS)](http://mourafiq.com/atom.xml)
* My thoughts on Data science, predictive analytics, Python http://shahramabyari.com/ [(RSS)](http://shahramabyari.com/feed/)
* Natural language processing blog http://nlpers.blogspot.fr/ [(RSS)](http://nlpers.blogspot.com/feeds/posts/default)
* Neil Lawrence http://inverseprobability.com/blog.html [(RSS)](http://inverseprobability.com/rss.xml)
* Neptune Blog: in-depth articles for machine learning practitioners https://neptune.ai/blog [(RSS)](https://neptune.ai/feed/)
* Nikolai Janakiev https://janakiev.com/ [(RSS)](https://janakiev.com/feed.xml)
* NLP and Deep Learning enthusiast http://camron.xyz/ [(RSS)](http://camron.xyz/index.php/feed/)
* no free hunch http://blog.kaggle.com/ [(RSS)](http://blog.kaggle.com/feed/)
* Nuit Blanche http://nuit-blanche.blogspot.com/ [(RSS)](http://nuit-blanche.blogspot.com/feeds/posts/default)
* Number 2147483647 https://no2147483647.wordpress.com/ [(RSS)](http://no2147483647.wordpress.com/feed/)
* On Machine Intelligence https://aimatters.wordpress.com/ [(RSS)](https://aimatters.wordpress.com/feed/)
* Opiate for the masses Data is our religion. http://opiateforthemass.es/ [(RSS)](http://opiateforthemass.es/feed.xml)
* p-value.info http://www.p-value.info/ [(RSS)](http://www.p-value.info/feeds/posts/default)
* Pete Warden's blog http://petewarden.com/ [(RSS)](http://feeds.feedburner.com/typepad/petewarden)
* Peter Laurinec - Time series data mining in R https://petolau.github.io/ [(RSS)](https://petolau.github.io/feed.xml)
* Plotly Blog http://blog.plot.ly/ [(RSS)](http://blog.plot.ly/rss)
* Probably Overthinking It http://allendowney.blogspot.ca/ [(RSS)](http://allendowney.blogspot.com/feeds/posts/default)
* Prooffreader.com http://www.prooffreader.com [(RSS)](http://www.prooffreader.com/feeds/posts/default)
* ProoffreaderPlus http://prooffreaderplus.blogspot.ca/ [(RSS)](http://prooffreaderplus.blogspot.ca/feeds/posts/default)
* Publishable Stuff http://www.sumsar.net/ [(RSS)](http://www.sumsar.net/atom.xml)
* PyImageSearch http://www.pyimagesearch.com/ [(RSS)](http://feeds.feedburner.com/Pyimagesearch)
* Pythonic Perambulations https://jakevdp.github.io/ [(RSS)](https://jakevdp.github.io/feeds/all.atom.xml)
* quintuitive http://quintuitive.com/ [(RSS)](http://quintuitive.com/feed/)
* R and Data Mining https://rdatamining.wordpress.com/ [(RSS)](http://rdatamining.wordpress.com/feed/)
* R-bloggers http://www.r-bloggers.com/ [(RSS)](http://feeds.feedburner.com/RBloggers)
* R2RT http://r2rt.com/ [(RSS)](http://r2rt.com/feeds/all.atom.xml)
* Ramiro Gómez http://ramiro.org/notebooks/ [(RSS)](http://ramiro.org/notebook/rss.xml)
* Random notes on Computer Science, Mathematics and Software Engineering http://barmaley-exe.github.io/ [(RSS)](http://feeds.feedburner.com/barmaley-exe-blog-feed)
* Randy Zwitch http://randyzwitch.com/ [(RSS)](http://randyzwitch.com/feed.xml)
* RaRe Technologies http://rare-technologies.com/blog/ [(RSS)](http://rare-technologies.com/feed/)
* Rayli.Net http://rayli.net/blog/ [(RSS)](http://rayli.net/blog/feed/)
* Reinforcement Learning For Fun https://reinforcementlearning4.fun [(RSS)](https://reinforcementlearning4.fun/feed)
* Revolutions http://blog.revolutionanalytics.com/ [(RSS)](http://blog.revolutionanalytics.com/atom.xml)
* Rinu Boney http://rinuboney.github.io/ [(RSS)](http://rinuboney.github.io/feed.xml)
* RNDuja Blog http://rnduja.github.io/ [(RSS)](http://rnduja.github.io/feed.xml)
* Robert Chang https://medium.com/@rchang [(RSS)](https://medium.com/feed/@rchang)
* Rocket-Powered Data Science http://rocketdatascience.org [(RSS)](http://rocketdatascience.org/?feed=rss2)
* Sachin Joglekar's blog https://codesachin.wordpress.com/ [(RSS)](https://codesachin.wordpress.com/feed/)
* samim https://medium.com/@samim [(RSS)](https://medium.com/feed/@samim)
* Sean J. Taylor http://seanjtaylor.com/ [(RSS)](http://seanjtaylor.com/rss)
* Sebastian Raschka http://sebastianraschka.com/blog/index.html [(RSS)](http://sebastianraschka.com/rss_feed.xml)
* Sebastian Ruder http://sebastianruder.com/ [(RSS)](http://sebastianruder.com/rss/)
* Sebastian's slow blog http://www.nowozin.net/sebastian/blog/ [(RSS)](http://www.nowozin.net/sebastian/blog/feeds/all.atom.xml)
* Self Learn Data Science https://selflearndatascience.com [(RSS)](https://selflearndatascience.com/feed/)
* SFL Scientific Blog https://sflscientific.com/blog-index/ [(RSS)](http://sflscientific.com/blog/?format=rss)
* Shakir's Machine Learning Blog http://blog.shakirm.com/ [(RSS)](http://blog.shakirm.com/feed/)
* Simply Statistics http://simplystatistics.org [(RSS)](http://simplystatistics.org/feed/)
* Springboard Blog http://springboard.com/blog
* Startup.ML Blog http://startup.ml/blog [(RSS)](http://www.startup.ml/blog?format=RSS)
* Stats and R https://www.statsandr.com/blog/ [(RSS)](https://www.statsandr.com/index.xml)
* Statistical Modeling, Causal Inference, and Social Science http://andrewgelman.com/ [(RSS)](http://andrewgelman.com/feed/)
* Stigler Diet http://stiglerdiet.com/ [(RSS)](http://stiglerdiet.com/feeds/all.atom.xml)
* Stitch Fix Tech Blog http://multithreaded.stitchfix.com/blog/ [(RSS)](http://multithreaded.stitchfix.com/feed.xml)
* Stochastic R&D Notes http://arseny.info/ [(RSS)](http://arseny.info/feeds/all.rss.xml)
* Storytelling with Statistics on Quora http://datastories.quora.com/
* StreamHacker http://streamhacker.com/ [(RSS)](http://feeds.feedburner.com/StreamHacker)
* Subconscious Musings http://blogs.sas.com/content/subconsciousmusings/ [(RSS)](http://feeds.feedburner.com/advanalytics)
* Swan Intelligence http://swanintelligence.com/ [(RSS)](http://swanintelligence.com/feeds/all.rss.xml)
* TechnoCalifornia http://technocalifornia.blogspot.se/ [(RSS)](http://technocalifornia.blogspot.com/feeds/posts/default)
* TEXT ANALYSIS BLOG | AYLIEN http://blog.aylien.com/ [(RSS)](http://blog.aylien.com/rss)
* The Angry Statistician http://angrystatistician.blogspot.com/ [(RSS)](http://angrystatistician.blogspot.com/feeds/posts/default)
* The Clever Machine https://theclevermachine.wordpress.com/ [(RSS)](http://theclevermachine.wordpress.com/feed/)
* The Data Camp Blog https://www.datacamp.com/community/blog [(RSS)](http://blog.datacamp.com/feed/)
* The Data Incubator http://blog.thedataincubator.com/ [(RSS)](http://blog.thedataincubator.com/feed/)
* The Data Science Lab https://datasciencelab.wordpress.com/ [(RSS)](http://datasciencelab.wordpress.com/feed/)
* THE ETZ-FILES http://alexanderetz.com/ [(RSS)](http://nicebrain.wordpress.com/feed/)
* The Science of Data http://www.martingoodson.com [(RSS)](http://www.martingoodson.com/rss/)
* The Shape of Data https://shapeofdata.wordpress.com [(RSS)](https://shapeofdata.wordpress.com/feed/)
* The unofficial Google data science Blog http://www.unofficialgoogledatascience.com/ [(RSS)](http://www.unofficialgoogledatascience.com/feeds/posts/default)
* Tim Dettmers http://timdettmers.com/ [(RSS)](http://timdettmers.com/feed/)
* Tombone's Computer Vision Blog http://www.computervisionblog.com/ [(RSS)](http://www.computervisionblog.com/feeds/posts/default)
* Tommy Blanchard http://tommyblanchard.com/category/projects [(RSS)](http://tommyblanchard.com/feeds/all.atom.xml)
* Trevor Stephens http://trevorstephens.com/ [(RSS)](http://trevorstephens.com/feed.xml)
* Trey Causey http://treycausey.com/ [(RSS)](http://treycausey.com/feeds/all.atom.xml)
* UW Data Science Blog http://datasciencedegree.wisconsin.edu/blog/ [(RSS)](http://datasciencedegree.wisconsin.edu/feed/)
* Victor Zhou https://victorzhou.com [(RSS)](https://victorzhou.com/rss.xml)
* Wellecks http://wellecks.wordpress.com/ [(RSS)](http://wellecks.wordpress.com/feed/)
* Wes McKinney http://wesmckinney.com/archives.html [(RSS)](http://wesmckinney.com/feeds/all.atom.xml)
* While My MCMC Gently Samples http://twiecki.github.io/ [(RSS)](http://twiecki.github.io/atom.xml)
* WildML http://www.wildml.com/ [(RSS)](http://www.wildml.com/feed/)
* Will do stuff for stuff http://rinzewind.org/blog-en [(RSS)](http://rinzewind.org/feed-en)
* Will wolf http://willwolf.io/ [(RSS)](http://willwolf.io/feeds/all.atom.xml)
* WILL'S NOISE http://www.willmcginnis.com/ [(RSS)](http://www.willmcginnis.com/feed/)
* William Lyon http://www.lyonwj.com/ [(RSS)](http://www.lyonwj.com/atom.xml)
* Win-Vector Blog http://www.win-vector.com/blog/ [(RSS)](http://www.win-vector.com/blog/feed/)
* Yanir Seroussi http://yanirseroussi.com/ [(RSS)](http://yanirseroussi.com/feed/)
* Zac Stewart http://zacstewart.com/ [(RSS)](http://zacstewart.com/feed.xml)
* ŷhat http://blog.yhat.com/ [(RSS)](http://blog.yhat.com/rss.xml)
* ℚuantitative √ourney http://outlace.com/ [(RSS)](http://outlace.com/feeds/all.atom.xml)
* 大トロ http://blog.otoro.net/ [(RSS)](http://blog.otoro.net/feed.xml)


# RSS
You can import an [opml file](./data-science.opml) to your favorite RSS reader.  
Also you can add [a feed](http://rushter.com/dsreader/feed) where the list is always up to date.

# Contributing
Your contributions are always welcome!