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ECE283

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ECE 283 - MACHINE LEARNING: A SIGNAL PROCESSING PERSPECTIVE

Full Course Title

MACHINE LEARNING: A SIGNAL PROCESSING PERSPECTIVE

Instructor Name(s)

MADHOW

Course Description

Machine learning algorithms from a signal processing viewpoint; unsupervised learning (K-means, deterministic annealing, EM algorithm); supervised learning (Support Vector Machines, neural networks); regression; Bayesian inference and tracking using Markov chain Monte Carlo and sequential Monte Carlo (particle filter) techniques.

Unit Value

4

Prerequisites

ECE 235.