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

Summer 2019

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

Spring 2019

Instructor(s): Kyle Hamilton, Maya Miller-Vedam
Instructor(s): Kyle Hamilton, Maya Miller-Vedam
Instructor(s): Kyle Hamilton
Instructor(s): Kyle Hamilton
Instructor(s): Kyle Hamilton, James York-Winegar
Instructor(s): Kyle Hamilton, James York-Winegar

Fall 2018

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

Last updated:

February 15, 2019