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- sta-209 - optimization-for-big-data-analytics
University of California-Davis Course Info
Davis, California•
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Course Info
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STA 209
Optimization for Big Data Analytics
Optimization algorithms for solving problems in statistics, machine learning, data analytics. Review computational tools for implementing optimization algorithms (gradient descent, stochastic gradient descent, coordinate descent, Newton’s method.)
Units: 4.0
Hours: Lecture—3 hour(s); Discussion—1 hour(s).
Prerequisites:
STA 208 - Statistical Methods in Machine Learning
and
STA 200A - Introduction to Probability Theory