Curriculum
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Descriptions
MSAI 339: Data Science


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Prerequisites

Core MSAI course

Description

In this course, we will survey the end-to-end process of building AI-based software from data acquisition through deployment and monitoring. We’ll focus on overcoming the key challenges faced by high performing teams:

  • Acquiring and transforming data for machine learning
  • Scaling for massive datasets and models
  • Understanding and integrating the diverse array of tools
  • Monitoring the underlying data and models in production

Students will build skills in manipulating, integrating, and analyzing data at scale. They’ll complete individual assignments to build their skills in using key data science tools and technologies: SQL, Spark, Pandas, etc…Each week a group of students will present a state-of-the-art research paper to dive deep into the tools and technologies underlying each stage of the pipeline.