ENTRIES TAGGED "data product"

What it takes to build great machine learning products

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.

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Data as seeds of content

Data as seeds of content

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.

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Data's next steps

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.

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Top Stories: March 26-30, 2012

Top Stories: March 26-30, 2012

Designing data products, five tough health care lessons, lean startup for publishers.

This week on O'Reilly: We looked at a four-step approach for designing great data products, Andy Oram shared the lessons he's learned about health care, and we learned about a competitive advantage that publishers aren't seizing.

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Designing great data products

Designing great data products

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.

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Direct sales uncover hidden trends for publishers

Direct sales uncover hidden trends for publishers

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.

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The unreasonable necessity of subject experts

The unreasonable necessity of subject experts

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.

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Profile of the Data Journalist: The Homicide Watch

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.

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Now available: "Planning for Big Data"

Now available: "Planning for Big Data"

A free handbook for anybody wanting to understand and use big data.

"Planning for Big Data" is a new book that helps you understand what big data is, why it matters, and where to get started.

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