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  • ECE 283

    • MACHINE LEARNING: A SIGNAL PROCESSING PERSPECTIVE . ECE 283

    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.

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    Prerequisites: ECE 235.

    4

    Units

    Letter

    Grading

    1, 2, 3

    Passtime

    Graduate students only

    Level Limit

    Engineering

    College
    Instructors
    JEONG H
    No info found
    Lecture
    PHELP1437
    T R
    14:00 PM - 15:50 PM
    30 / 30 Full
    Enrollment Trends
    Past Enrollment Trends (1)
    Spring 2025 . Jeong H
    PHELP1437
    M W
    14:00 PM - 15:50 PM
    Grading Trends (7)
    See All
    ECE 283 Jeong H Spring 2024 Total: 20
    ECE 283 Jeong H Spring 2023 Total: 15
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