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3Blades Data Analysis in the Cloud.
Abbott analytics (Dean Abbott and Will Dwinnell) provides tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment.
Analytics Vidhya blog on development of analytical skills, analytic industry best practices, and more.
Ann Maria’s Blog, by Dr. AnnMaria De Mars, President of the online statistics education company The Julia Group.
Anil Batra’s Web Analysis (Analytics), Online Advertising and Behavioral Targeting blog
Annalyzin, analytics for laymen, with tutorials and experiments, by Annalyn Ng.
Ari Lamstein blog, covering open data, mapping, R, and more.
Business. Statistics. Technology, by Galit Shmueli, Professor of Statistics at Indian School of Business, Hyderabad, India.
Beyond the Box Score A blog using statistics to analyse the game of baseball.
Big Data to Big Profits, blog by Prof. Russell Walker, Northwestern.
Blog About Stats By Armin Grossenbacher, a network for professionals mainly of statistical institutions.
Business Analytics (Practical Analytics) blog by Ravi Kalakota.
Business. Statistics. Technology blog by Galit Shmueli, Professor of Statistics at Indian School of Business, Hyderabad, India.
Calculated Risk, Finance and Economics
Clustify Blog, covering e-discovery, predictive coding, document clustering, technology, and software development.
CoolData By Kevin MacDonell on Analytics, predictive modeling and related cool data stuff for fund-raising in higher education.
Data Mining Research blog by Sandro Saitta on data mining research issues, recent applications, important events, interviews with leading actors, current trends, book reviews, etc
Data Mining: Text Mining, Visualization, and Social Media by Matthew Hurst.
Data Science 101 by Ryan Swanstrom on becoming a data scientist.
Data Science Renee, by Renee M. P. Teate, on becoming a data scientist.
Data Tau a list of interesting articles submitted by readers.
DecisionStats by Ajay Ohri, founder of DECISIONSTATS and author of “R for Business Analytics” and “R for Cloud Computing”.
DiffusePrior by Alan Fernihough, on using R in econometric research.
Domino Data Lab on startups, data science, R and Python.
Deep Data Mining Blog, mostly focused on technical aspect of data mining, by Jay Zhou.
EMC Big data blog, by Mona Patel, big data solutions marketing at EMC
Error Statistics Philosophy by Virginia Tech statistical philosopher Deborah G. Mayo
Facebook Data Science Blog, the official blog of interesting insights presented by Facebook data scientists.
Fern Halper’s Data Makes the World Go ‘Round, primarily focused on business and text analytics.
FiveThirtyEight, by Nate Silver and his team, gives a statistical view of everything from politics to science to sports with the help of graphs and pie charts.
Freakonometrics – Charpentier, a professor of mathematics, offers a nice mix of generally accessible and more challenging posts on statistics related subjects, all with a good sense of humor.
Freakonomics blog, by Steven Levitt and Stephen J. Dubner.
FastML, covering practical applications of machine learning and data science.
FlowingData, the visualization and statistics site of Nathan Yau.
Geeking with Greg, exploring the future of personalized information.
Harvard Data Science, thoughts on Statistical Computing and Visualization.
Hunch.net, by John Langford, a leading applied machine learning researcher, covers the intersection of machine learning theory and practice.
Hyndsight by Rob Hyndman, on forecasting, data visualization and functional data.
IBM Big Data Hub Blogs, blogs from IBM thought leaders.
Insight Data Science Blog on latest trends and topics in data science by Alumnus of Insight Data Science Fellows Program.
Information is Beautiful, by Independent data journalist and information designer David McCandless who is also the author of his book ‘Information is Beautiful’.
Jeff Jonas blog, thoughts and resources on privacy and the information age.
JT on EDM, James Taylor on Everything Decision Management
Juice Analytics on analytics and visualization.
Kaggle blog “No Free Hunch”, covering Kaggle data science and machine learning competitions
Love Stats Blog By Annie, a market research methodologist who blogs about sampling, surveys, statistics, charts, and more
Learning Lover on programming, algorithms with some flashcards for learning.
Large Scale ML & other Animals, by Danny Bickson, started the GraphLab, an award winning large scale open source project
Lazy Programmer on the latest in big data, data science, and coding for startups.
MineThatData Blog by Kevin Hillstrom, views on Multichannel Marketing and Database Marketing.
Meta Analysis with a wide range of categories to explore! Analytics You Can Take to the Bank – Meta S. Brown on Predictive Analytics
Machine Learning Mastery by Jason Brownlee, on programming & machine learning.
Machined Learning by Paul Mineiro, from Microsoft Cloud & Information Services Lab
Matt Cutts: Gadgets, Google, and SEO blog
Net-Savvy Executive, Nathan Gilliatt blog on Social Media Analysis.
Nuit Blanche by Igor Carron, focuses on Compressive Sensing, Advanced Matrix Factorization Techniques, Machine Learning.
Numbers rule your world, by Kaiser Fung
Occam’s Razor by Avinash Kaushik, examining web analytics and Digital Marketing.
OpenGardens, Data Science for Internet of Things (IoT), by Ajit Jaokar.
O’Reilly Radar, a wide range of research topics and books.
Oracle Data Mining Blog, Everything about Oracle Data Mining – News, Technical Information, Opinions, Tips & Tricks. All in One Place.
Observational Epidemiology A college professor and a statistical consultant offer their comments, observations and thoughts on applied statistics, higher education and epidemiology.
Overcoming bias By Robin Hanson and Eliezer Yudkowsky. Present Statistical analysis in reflections on honesty, signaling, disagreement, forecasting and the far future.
Probability & Statistics Blog By Matt Asher, statistics grad student at the University of Toronto. Check out Asher’s Statistics Manifesto.
Perpetual Enigma by Prateek Joshi, a computer vision enthusiast writes question-style compelling story reads on machine learning.
Predictive Analytics World blog, by Eric Siegel, founder of Predictive Analytics World and Text Analytics World, and Executive Editor of the Predictive Analytics Times, makes the how and why of predictive analytics understandable and captivating.
R-bloggers , best blogs from the rich community of R, with code, examples, and visualizations
R chart A blog about the R language written by a web application/database developer.
R Statistics By Tal Galili, a PhD student in Statistics at the Tel Aviv University who also works as a teaching assistant for several statistics courses in the university.
Revolution Analytics hosted, and maintained by Revolution Analytics.
Random Ponderingsby Yisong Yue, on artificial intelligence, machine learning & statistics.
Salford Systems Data Mining and Predictive Analytics Blog, by Dan Steinberg.
Sabermetric Research By Phil Burnbaum blogs about statistics in baseball, the stock market, sports predictors and a variety of subjects.
Statisfaction A blog by jointly written by PhD students and post-docs from Paris (Université Paris-Dauphine, CREST). Mainly tips and tricks useful in everyday jobs, links to various interesting pages, articles, seminars, etc.
SAS blog on text mining, voice mining and unstructured data by SAS experts.
Shape of Data, presents an intuitive introduction to data analysis algorithms from the perspective of geometry, by Jesse Johnson.
Simply Statistics By three biostatistics professors (Jeff Leek, Roger Peng, and Rafa Irizarry) who are fired up about the new era where data are abundant and statisticians are scientists.
Smart Data Collective, an aggregation of blogs from many interesting data science people
Statistical Modeling, Causal Inference, and Social Science by Andrew Gelman
Stats with Cats By Charlie Kufs has been crunching numbers for over thirty years, first as a hydrogeologist and since the 1990s, as a statistician. His tagline is- when you can’t solve life’s problems with statistics alone.
StatsBlog, a blog aggregator focused on statistics-related content, and syndicates posts from contributing blogs via RSS feeds.
Steve Miller BI blog, at Information management.
The Geomblog by Suresh
Unofficial Google Analytics Blog from ROI Revolution.
The Analysis Factor By Karen Grace Martin
The Guardian Data Blog, data journalism on topics in their news.
The Bad Science by Dr. Ben Goldacre, an epidemiologist who uses statistics to debunk bad science.
The Practical Quant by Ben Lorica, O’Reilly Media Chief Data Scientist, on OLAP analytics, big data, data applications etc
The numbers guy A blog written by Wall Street Journal writer Carl Bialik who ‘examines the way numbers are used, and abused’
Three Toed Sloth A blog written by Professor Cosma Shalizi who teaches statistics at Carnegie Mellon University.
Tom H. C. Anderson/Odintext blog, focusing on market research with data and text mining.
Vincent Granville blog. Vincent, the founder of AnalyticBridge and Data Science Central, regularly posts interesting topics on Data Science and Data Mining
What’s the Big Data. Gil Press covers the Big Data space and also writes a column on Big Data and Business in Forbes.
Walking Randomly by Mike Croucher
Web Analytics & Affiliate Marketing, Dennis R. Mortensen’s blog about how to increase publisher revenue through analytics.
Xi’ans Og Blog A blog written by a professor of Statistics at Université Paris Dauphine, mainly centred on computational and Bayesian topics.
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