Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Software Engineer, IBM

Bryan Cutler is a software engineer at IBM’s Spark Technology Center, where he works on big data analytics. He is a contributor to Apache Spark in the areas of ML, SQL, Core, and Python and a committer for the Apache Arrow project. Bryan is interested in pushing the boundaries to build high-performance tools for analytics and machine learning.


11:1511:55 Thursday, 24 May 2018
Data science and machine learning
Location: Capital Suite 10/11 Level: Beginner
Average rating: **...
(2.50, 2 ratings)
Tuning a Spark ML model using cross-validation involves a computationally expensive search over a large parameter space. Nick Pentreath and Bryan Cutler explain how enabling Spark to evaluate models in parallel can significantly reduce the time to complete this process for large workloads and share best practices for choosing the right configuration to achieve optimal resource usage. Read more.