Course description

In this course students learn to use advanced machine learning methods and big data technologies. The advanced machine learning methods include support vector machines, ensemble methods, probabilistic graph models, neural nets, and methods for working with time series data. The big data technologies support machine learning through the distributed processing of large data sets on a computing cluster. (Prereq: CST 383 with a C- or better)

Units: 4

Fall 2019 sections

Section: 1
Number: 43102
Units: 4
Seats: 11/40
  • Tuesday, Thursday 2 – 3:50 pm
    Gambord - 224