Data Science W261
Machine Learning at Scale
3 units
Course Description
This course teaches the underlying principles required to develop scalable machine learning pipelines for structured and unstructured data at the petabyte scale. Students will gain hands-on experience in Apache Hadoop and Apache Spark.
Prerequisites
Master of Information and Data Science students only. Data Science W207. Intermediate programming skills in an object-oriented language (e.g., Python).
Course History
Fall 2017
Instructor(s): Kyle Hamilton
Instructor(s): Mike Bowles, Mike Tamir
Instructor(s): Mike Bowles, Mike Tamir
Summer 2017
Instructor(s): Mike Tamir Mike Bowles
Instructor(s): Kyle Hamilton, Mike Tamir
Spring 2017
Instructor(s): James Shanahan, Mike Tamir
Instructor(s): James Shanahan, Mike Tamir
Fall 2016
Instructor(s): Mike Tamir, James Shanahan
Instructor(s): Mike Tamir, James Shanahan
Summer 2016
Instructor(s): James Shanahan
Instructor(s): James Shanahan
Instructor(s): James Shanahan
Spring 2016
Instructor(s): James Shanahan
Instructor(s): James Shanahan
Instructor(s): James Shanahan
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