Prac Data Sci/Mach Learn-Engrs — With the growing importance of data and data processing across all industries, it is critical for modern engineers to be nimble data scientists. For engineers who are not professional software developers, it can be tricky to break into the ecosystem of modern tooling that is required to efficiently process and learn from data. The focus of this course is to introduce the tools, theory, and methods for working with applied data science and machine learning (DS/ML). You will learn how to use and interact with open source DS/ML tools, the theory behind canonical ML algorithms, and practical methods and workflows for learning from data. This class is project-based and you will be guided through a series of practical data science problems. In addition, you will learn the DevOps skills required to be productive as a DS/ML engineer.
No prereqs
Taught by nobody this semester.