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ELEC 1005P - 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.
2.450 Continuing Education Units 24.500 Lecture hours Syllabus Available Grade Basis: Z Electrical & Computer Engr Division Professional Education Department Course Attributes: PE No Attribute Assigned |
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