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Introduction to Machine Learning

COS 324

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This course is a broad introduction to different machine learning paradigms and algorithms and provides a foundation for further study or independent work in machine learning and data science. Topics include linear models for classification and regression, support vector machines, clustering, dimensionality reduction, deep neural networks, Markov decision processes, planning, and reinforcement learning. The goals of this course are three-fold: to understand the landscape of machine learning, how to compute the math behind techniques, and how to use Python and relevant libraries to implement and use various methods.
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Section L01

Section P01

Section P02

Section P03

Section P04

Section P05

Section P06

  • Type: Precept
  • Section: P06
  • Status: C
  • Enrollment: 0
  • Capacity: 0
  • Class Number: 23130
  • Schedule: Th 07:30 PM-08:20 PM

Section P07