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Things You Learn When Building Models for Big Data
Things You Learn When Building Models for Big Data
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Length:
22 minutes
Released:
May 22, 2017
Format:
Podcast episode
Description
As more and more data gets collected seemingly every day, and data scientists use that data for modeling, the technical limits associated with machine learning on big datasets keep getting pushed back. This week is a first-hand case study in using scikit-learn (a popular python machine learning library) on multi-terabyte datasets, which is something that Katie does a lot for her day job at Civis Analytics. There are a lot of considerations for doing something like this--cloud computing, artful use of parallelization, considerations of model complexity, and the computational demands of training vs. prediction, to name just a few.
Released:
May 22, 2017
Format:
Podcast episode
Titles in the series (100)
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