Predictive data analytics is saving lives and taxpayer dollars in New York City
Michael Flowers explains why applying data science to regulatory data is necessary to use city resources better.
Data
Our take on the ideas, information, and tools that make data work.
Big ethics for big data
How businesses can confront the ethical issues tied to massive aggregation and data analysis.
What it takes to build great machine learning products
Rich machine learning products come from skilled and knowledgeable teams.
Visualization of the Week: Clustering your social graph
A Facebook app organizes your friends via shared interests and experiences.
Why data visualization matters
The best data visualizations expose something new.
What is Apache Hadoop?
A look at the components and functions of the Hadoop ecosystem.
Big data market survey: Hadoop solutions
A survey of the Hadoop big data marketplace.
How data and analytics can improve education
George Siemens on the applications and challenges of education data.
Get started with Hadoop: From evaluation to your first production cluster
Best practices for evaluating Hadoop and setting up an initial cluster (updated March 2012)
Why you can’t really anonymize your data
It's time to accept and work within the limits of data anonymization.
3 skills a data scientist needs
LinkedIn's Pete Skomoroch on the key capabilities of data scientists.
Redesigning the New York City subway map
The long and complicated path that led to Eddie Jabbour's KickMap.
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