most citedIdentifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.NE2016★ 5 cited

Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool

Randal S. Olson, Jason H. Moore

As data science continues to grow in popularity, there will be an increasing need to make data science tools more scalable, flexible, and accessible. In particular, automated machi…