Data Science Blogs-2

Edwin Chen’s Blog – Edwin studied math and linguistics from MIT, and has a background doing quant trading at Clarium, ads at Twitter, data science at Dropbox, and stats/ML at Google. His blog holds insightful information on AI, human computation, and data. – The blog has articles that cater to data science, business, and IT teams. Experts also have a chance to share their insight with thousands of site readers.

Data Science 101 – Ryan Swanstrom holds a PhD in Computational Science and Statistics and has been posting on his blog since 2012.He shares data science resources, news, and research.

The Shape of Data – Although now a software engineer at Google, Jesse Johnson began as a math professor. His blog explores and explains the basic ideas that underlie modern data analysis.

Planet Big Data – Planet Big Data compiles blogs about big data, Hadoop, and related topics. It includes posts by bloggers worldwide.

Big Data Blog – The conference itself presents the latest discoveries in big data, actionable insights, and showcases best practices. On the blog you can find articles on these topics that save a trip to the conference.

Chris Ablon’s Blog – Chris Ablon is a data scientist and political scientist with over 10 years experience with statistics, artificial intelligence, and software engineering. He specializes in political, social, and humanitarian efforts, and shares hundreds of notes on the topics.

NYC Data Academy Blog – This blog has articles on R, web scraping, machine learning, and meetups. It also outlines some capstone projects from participants in their training program.

DBMS2 – This blog is for people interested in database and analytic technologies, and features commentary from industry professionals. Its author, Curt Monash, has been following the industry for over 30 years.

Data36 – Tomi Mester’s blog gives insight into online data analysts’ best practices. You will find articles, online courses, and videos about data analysis, AB-testing, research, and data science.

Operational Database Management Systems – This site is a resource portal for big data, new data management technologies and data science. The editor is a professor of Database and Information Systems at Frankfurt University.

Yanir Seroussi’s Blog – Yanir Seoussi is an experienced data scientist and software engineer with a developed background in programming, computer science, machine learning, and statistics. His blog includes thoughts on topics from isolated data problems to building production systems.

Simply Statistics – This blog is written by three biostatistics professors: Jeff Leek, Roger Peng, and Rafa Irizarry. They posting ideas, contribute to discussion of science/popular writing, link to articles, and share advice with up-and-coming statisticians.

What’s the Big Data? – Gil Press runs his own consulting practice, gPress, providing writing, research and marketing services. His blog explores big data’s impact on information technology, the business world, government agencies, and our lives.

Towards Data Science – This blog serves as a platform for thousands of people to exchange ideas and to expand our understanding of data science. You can read a diverse collection of thoughts from data scientists of diverse specializations.

Alexis Perrier’s Blog – Alexis Perrier is a data science consultant, who helps companies large and small, profit from machine learning. As a data science instructor, he shares his knowledge on focuses like linear regressions to deep learning on his blog.

Algobeans – Algobeans was created by data science enthusiasts, Annalyn from the University of Cambridge and Kenneth from Stanford University. They created the site to give everyone access to data science in simplified terms.

Ben Frederickson’s Blog – Ben Frederickson is a software developer based in Vancouver, Canada. He shares projects and findings about software development and data science on his blog.

Daniel Nee’s Blog – Daniel Nee has a background in Machine Learning and Computer Science, and works as a Data Scientist. His blog features posts about his experience, useful tools and techniques, and other interests.

Data Blogger – This blog neatly organizes its posts by category like technology, do-it-yourself, and data science. There is also a Q&A section so you can ask any data science question you may have.

Data Mining Research – Sandro Saitta started this blog as a PhD student in Switzerland. The blog began discussing data mining research issues. Now posts discuss research issues, recent applications, important events, interviews with leading actors, current trends, book reviews, and more.

Data Double Confirm – Hui Xiang Chua works as a research analyst in Singapore when she’s not sharing knowledge on her blog. Data Double Confirm documents her learning journey in data science, and is a great resource for data collection, data preparation, data visualization, to basic statistical analysis and modelling.

Data Meets Media – This unique blog blends together television, movies, and data science. Posts cover the two topics individually and also find an intersection between all of them.

Data Aspirant – Saimadhu Polamuri is a self-taught data scientist, data science educator, and the founder of DataAspirant. This blog serves as a data science resource for beginners.

Hacker News for Data Science LightTag’s Labeled Data Blog


The O’Reilly Data Show

Partially Derivative

The Talking Machines

The Data Skeptic

Linear Digressions

Data Stories

Learning Machines 101

Not So Standard Deviations


Machine Learning Guide


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