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Rapid Prototyping In Data Science With Big Data & Python

Description

Rapid prototyping in data science often hits a wall when data is too large to fit into memory. When this happens, teams are often confronted with two options: sampling techniques or porting to Apache Spark. Both have significant drawbacks. In this talk, I'll demonstrate how to leverage Dask and Scikit-learn to solve this problem.

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