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Episode 82  |  19:08 min

Episode 82: Aggregating Massive Data Sets with Chris Moore

Episode 82  |  19:08 min  |  11.25.2019

Episode 82: Aggregating Massive Data Sets with Chris Moore

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This is a podcast episode titled, Episode 82: Aggregating Massive Data Sets with Chris Moore. The summary for this episode is: A few months ago we talked to Bill Adler, the Founding President and CEO of True Fit, a data-driven personalization platform for footwear and apparel retailers that's using machine learning to push the fashion industry forward. In a follow-up conversation with Chris Moore, the company's Chief Analytics Officer, Jon Prial digs into how that company aggregates and works with its massive data sets.  You'll hear about: - The importance of normalizing data - Some of the best practices True Fit uses to manage all of its data - How to overcome the challenges of working with thin data - Generating features To learn more about this episode, check out the show notes: http://bit.ly/2MlkbcD
A few months ago we talked to Bill Adler, the Founding President and CEO of True Fit, a data-driven personalization platform for footwear and apparel retailers that's using machine learning to push the fashion industry forward. In a follow-up conversation with Chris Moore, the company's Chief Analytics Officer, Jon Prial digs into how that company aggregates and works with its massive data sets.  You'll hear about: - The importance of normalizing data - Some of the best practices True Fit uses to manage all of its data - How to overcome the challenges of working with thin data - Generating features To learn more about this episode, check out the show notes: http://bit.ly/2MlkbcD

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