ENTRIES TAGGED "data product"
Rich machine learning products come from skilled and knowledgeable teams.
Specific insights into a problem and careful model design separate a machine learning system that doesn't work from one that people will actually use.
A look at lesser-known ways to extract insight from data.
Visualizations are one way to make sense of data, but they aren't the only way. Robbie Allen reveals six additional outputs that help users derive meaningful insights from data.
RedMonk's Steve O'Grady weighs in on data's pressing issues.
Redmonk analyst Steve O'Grady discusses the demand for data scientists, the problem of using data to asking the right questions, and why you shouldn't rush into a NoSQL investment.
The Drivetrain Approach: A four-step process for building data products.
Data scientists need a systematic design process to build increasingly sophisticated products. That's where the Drivetrain Approach comes in.
Direct channels give publishers full access to their data streams.
A recent O'Reilly customer survey revealed unusual results (e.g. laptops/desktops remain popular ereading devices). These sorts of insights are made possible by O'Reilly's direct sales channel.
Experts make the leap from correct results to understood results.
We can't forget that data is ultimately about insight, and insight is inextricably tied to the
stories we build from the data. Subject experts are the ones who find the stories data wants to tell.
Chris Amico and Laura Norton Amico's project started as a spreadsheet. Now it's a community news platform.
To learn more about the people who are redefining the practice computer-assisted reporting, in some cases, building the newsroom stack for the 21st century, Radar conducted a series of email interviews with data journalists during the 2012 NICAR Conference. "It’s not just about the data, and it’s not just about the journalism, but it’s about meeting a community need in an innovative way," said Laura Norton Amico.