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

Data Science W205 & W207. Intermediate programming skills in an object-oriented language (e.g., Python). Master of Information and Data Science students only.

Courses

Course History

Fall 2018

Instructor(s): Mike Bowles, Mike Tamir
Instructor(s): Mike Bowles, Mike Tamir
Instructor(s): Kyle Hamilton, James York-Winegar
Instructor(s): Kyle Hamilton, James York-Winegar

Summer 2018

Instructor(s): Mike Bowles, Mike Tamir
Instructor(s): Mike Bowles, Mike Tamir
Instructor(s): Kyle Hamilton

Spring 2018

Instructor(s): Mike Bowles, Mike Tamir
Instructor(s): Mike Bowles, Mike Tamir

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

Last updated:

March 6, 2018