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Course Prefix: CSE   Course #: 574   Keywords: null  
  • CSE 574LEC Introduction to Machine Learning
    Lecture

    Involves teaching computer programs to improve their performance through guided training and unguided experience. Takes both symbolic and numerical approaches. Topics include concept learning, decision trees, neural nets, latent variable models, probabilistic inference, time series models, Bayesian learning, sampling methods, computational learning theory, support vector machines, and reinforcement learning.

    Credits: 3
    Grading: Graded (GRD)
    Typically Offered: Varies
  • CSE 574LEC Introduction to Machine Learning
    Lecture

    Involves teaching computer programs to improve their performance through guided training and unguided experience. Takes both symbolic and numerical approaches. Topics include concept learning, decision trees, neural nets, latent variable models, probabilistic inference, time series models, Bayesian learning, sampling methods, computational learning theory, support vector machines, and reinforcement learning.

    Credits: 3
    Grading: Graded (GRD)
    Typically Offered: Varies
 
Published: Apr 09, 2021 09:15:16