Designing Great Data Products

Nonfiction, Computers, Programming
Cover of the book Designing Great Data Products by Jeremy  Howard, Margit Zwemer, Mike Loukides, O'Reilly Media
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Author: Jeremy Howard, Margit Zwemer, Mike Loukides ISBN: 9781449333683
Publisher: O'Reilly Media Publication: March 23, 2012
Imprint: O'Reilly Media Language: English
Author: Jeremy Howard, Margit Zwemer, Mike Loukides
ISBN: 9781449333683
Publisher: O'Reilly Media
Publication: March 23, 2012
Imprint: O'Reilly Media
Language: English

In the past few years, we’ve seen many data products based on predictive modeling. These products range from weather forecasting to recommendation engines like Amazon's. Prediction technology can be interesting and mathematically elegant, but we need to take the next step: going from recommendations to products that can produce optimal strategies for meeting concrete business objectives.

We already know how to build these products: they've been in use for the past decade or so, but they're not as common as they should be. This report shows how to take the next step: to go from simple predictions and recommendations to a new generation of data products with the potential to revolutionize entire industries.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

In the past few years, we’ve seen many data products based on predictive modeling. These products range from weather forecasting to recommendation engines like Amazon's. Prediction technology can be interesting and mathematically elegant, but we need to take the next step: going from recommendations to products that can produce optimal strategies for meeting concrete business objectives.

We already know how to build these products: they've been in use for the past decade or so, but they're not as common as they should be. This report shows how to take the next step: to go from simple predictions and recommendations to a new generation of data products with the potential to revolutionize entire industries.

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