Things You Learn When Building Models for Big Data
Linear Digressions22 Touko 2017

Things You Learn When Building Models for Big Data

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.

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Still summer break: back next week

Still summer break: back next week

Still summer break: back next week by Katie Malone

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Summer break: back soon

Summer break: back soon

Summer break: back soon by Katie Malone

6 Heinä 36s