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    KDnuggets 500彩票下载app二维码 » Websites » Blogs and News on Data Mining and Data Science

    Blogs on Big Data, Business Analytics, Data Mining, and Data Science




    Here are some of the most interesting and regularly-updated blogs on Analytics, Big Data, Data Science, Data Mining, and Machine Learning, in alphabetical order.

    Blog aggregators, Companies, Large sites

    • on development of analytical skills, analytic industry best practices, and more.
    • , by rushter on github.
    • , focusing on the fundamentals of data science.
    • , 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.
    • , an aggregation of blogs from company contributors focusing on Big Data topics. business data.
    • , blogs from IBM thought leaders.
    • KDnuggets, a leading site/blog on Big Data, Data Science, Data Mining, Predictive Analytics (this site, included for completeness).
    • topics.
    • , a wide range of research topics and books.
    • , Everything about Oracle Data Mining - News, Technical Information, Opinions, Tips & Tricks. All in One Place.
    • is an aggregator of blogs about big data, Hadoop, and related topics. We include posts by bloggers worldwide
    • , best blogs from the rich community of R, with code, examples, and visualizations.
    • , connecting to people, products, and ideas from SAS
    • , SAS experts blog about advanced analytics and compelling industry insights.
    • , an aggregation of blogs from many interesting data science people.
    • , a blog aggregator focused on statistics-related content, and syndicates posts from contributing blogs via RSS feeds.
    • Technical details, ideas and news on data warehousing and big data from the Oracle Team.

    Individual/small group blogs

    • , by Dr. AnnMaria De Mars, President of the online statistics education company The Julia Group.
    • , analytics for laymen, with tutorials and experiments, by Annalyn Ng.
    • , covering open data, mapping, R, and more.
    • A blog using statistics to analyse the game of baseball.
    • , blog by Prof. Russell Walker, Northwestern.
    • : Andrew Brust, Tony Baer and George Anadiotis cover Big Data technologies including Hadoop, NoSQL, Data Warehousing, BI and Predictive Analytics.
    • By Armin Grossenbacher, a network for professionals mainly of statistical institutions.
    • by Ravi Kalakota.
    • blog by Galit Shmueli, Professor of Statistics at Indian School of Business, Hyderabad, India.
    • , Finance and Economics
    • , covering e-discovery, predictive coding, document clustering, technology, and software development.
    • By Kevin MacDonell on Analytics, predictive modeling and related cool data stuff for fund-raising in higher education.
    • by ScienceSoft.
    • by Sandro Saitta on data mining research issues, recent applications, important events, interviews with leading actors, current trends, book reviews, etc
    • by Matthew Hurst.
    • , about data mining, data science, big data.
    • , by Ryan Swanstrom on becoming a data scientist.
    • , by Renee M. P. Teate, on becoming a data scientist.
    • a list of interesting articles submitted by readers.
    • , about data analysis, AB-testing, research, big data and more
    • , Writings about data science.
    • by Ajay Ohri, founder of DECISIONSTATS and author of "R for Business Analytics" and "R for Cloud Computing".
    • , mostly focused on technical aspect of data mining, by Jay Zhou.
    • on startups, data science, R and Python.
    • , by Mona Patel, big data solutions marketing at EMC
    • , mirrors latest happenings in the data science and analytics world.
    • by Virginia Tech statistical philosopher Deborah G. Mayo
    • , the official blog of interesting insights presented by Facebook data scientists.
    • , covering practical applications of machine learning and data science.
    • , primarily focused on business and text analytics.
    • , the visualization and statistics site of Nathan Yau.
    • 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.
    • , by Steven Levitt and Stephen J. Dubner.
    • , exploring the future of personalized information.
    • , by Goran Dragosavac, SAS principal consultant in South Africa.
    • , thoughts on Statistical Computing and Visualization.
    • .
    • , by John Langford, a leading applied machine learning researcher, covers the intersection of machine learning theory and practice.
    • by Rob Hyndman, on forecasting, data visualization and functional data.
    • , blogs from IBM thought leaders.
    • , by Independent data journalist and information designer David McCandless who is also the author of his book 'Information is Beautiful'.
    • , by Alex Castrounis, covering topics including artificial intelligence, machine learning, data science, big data, and IoT, with a focus on concepts, techniques, best practices, and trends.
    • on latest trends and topics in data science by Alumnus of Insight Data Science Fellows Program.
    • , tutorial-style articles in the general areas of mathematics, electrical engineering and neuroscience.
    • , James Taylor on Everything Decision Management
    • , blogging about analytics and visualization
    • , on machine learning and computer vision, particularly probabilistic graphical models.
    • , covering Kaggle data science and machine learning competitions
    • , by Danny Bickson, started the GraphLab, an award winning large scale open source project
    • , on the latest in big data, data science, and coding for startups.
    • on programming, algorithms with some flashcards for learning.
    • , Natural Language Processing and Text Analytics.
    • By Annie, a market research methodologist who blogs about sampling, surveys, statistics, charts, and more
    • by Jason Brownlee, on programming & machine learning.
    • by Paul Mineiro, from Microsoft Cloud & Information 500彩票下载app二维码 Lab
    • , by Tevfik Kosar on Big data and beyond, data intensive scientific thought.
    • by Prashant Chandramohan, on data management.
    • by Kevin Hillstrom, views on Multichannel Marketing and Database Marketing.
    • , Nathan Gilliatt blog on Social Media Analysis.
    • by Igor Carron, focuses on Compressive Sensing, Advanced Matrix Factorization Techniques, Machine Learning.
    • , by Kaiser Fung
    • A college professor and a statistical consultant offer their comments, observations and thoughts on applied statistics, higher education and epidemiology.
    • , Data Science for Internet of Things (IoT), by Ajit Jaokar.
    • By Robin Hanson and Eliezer Yudkowsky. Present Statistical analysis in reflections on honesty, signaling, disagreement, forecasting and the far future.
    • by Prateek Joshi, a computer vision enthusiast writes question-style compelling story reads on machine learning.
    • 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.
    • By Matt Asher, statistics grad student at the University of Toronto. Check out Asher Statistics Manifesto.
    • A blog about the R language written by a web application/database developer.
    • 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.
    • by Yisong Yue, on artificial intelligence, machine learning & statistics.
    • , news about using open source R for big data analysis, predictive modeling, data science, and visualization
    • on business and technology of performance management, business intelligence and data warehousing.
    • .
    • By Phil Burnbaum blogs about statistics in baseball, the stock market, sports predictors and a variety of subjects.
    • , a weekly technical blog about data analysis in SAS.
    • , by LX, Senior Statistician in Hartford, CT.
    • , data analysis algorithms from the perspective of geometry, by Jesse Johnson.
    • .
    • 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.
    • provides insight on Self-Serve Data Preparation, Predictive Analytics, Smart Data Visualization, Machine Learning, NLP and related topics.
    • A blog by jointly written by PhD students and post-docs from Paris (U. Paris-Dauphine, CREST). Mainly tips and tricks useful in everyday jobs, links to various interesting pages, articles, seminars, etc.
    • by Andrew Gelman
    • True to its name, epidemiologist Hilda Bastian's blog is a hilarious account of the science of unbiased health research with the added bonus of cartoons.
    • , data stories on machine learning and analytics from Statsbot.
    • , .. for when you500彩票下载app二维码 can't solve life's problems with statistics alone.
    • , at Information management.
    • , covering web analytics, R, Google analytics, and related topics.
    • By Karen Grace Martin
    • by Dr. Ben Goldacre, an epidemiologist who uses statistics to debunk bad science.
    • by Suresh
    • , data-driven commentary on topics in the news.
    • , about statistics, analyzing data, problem solving and integrating solution components.
    • , by Venky Rao.
    • by Ben Lorica, O'Reilly Media Chief Data Scientist, on OLAP analytics, big data, data applications etc
    • A blog written by Professor Cosma Shalizi who teaches statistics at Carnegie Mellon University.
    • , focusing on market research with data and text mining.
    • , by founder of AnalyticBridge and Data Science Central, on interesting topics on Data Science and Data Mining
    • by Mike Croucher
    • , by Gil Press. Gil covers the Big Data space and also writes a column on Big Data and Business in Forbes.
    • , written by a professor of Statistics at U. Paris Dauphine, mainly on computational and Bayesian topics.

    Blogs on Web Analytics and Web Mining

    • by Avinash Kaushik, examining web analytics and Digital Marketing.
    • .
    • from ROI Revolution.
    • .
    • , Dennis R. Mortensen's blog about how to increase publisher revenue through analytics.

    Popular blogs also relevant to Business Analytics, Data Mining and Data Science

    • , thoughts and resources on privacy and the information age.
    • , by Carl Bialik.

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