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ECE 657

Introduction to Machine Learning

Graduate

Spring 2025 · Course Outline:

Topics

  • ECE 657 | Tools of Intelligent System Design
  • s may be distributed electronically.

Readings

  • Deep Learning (2016). I. Goodfellow, Y. Bengio, A. Courville.
    unspecified
  • Pattern Recognition and Machine Learning (2006). C. Bishop.
    unspecified
  • Machine Learning: a Probabilistic Perspective (2012). K. Murphy.
    unspecified
  • Reinforcement Learning: An Introduction (2018). R. Sutton, A. Barto.
    unspecified
  • Elements of Statistical Learning (2009). T. Hastie, R. Tibshirani and J. Friedman.
    unspecified
  • Mathematics for Machine Learning (2020). M. P. Deisenroth, A. A. Faisal, and C. S. Ong
    unspecified
  • An Introduction to Statistical Learning (2013). G. James, D. Witten, T. Hastie, R. Tibshirani.
    unspecified
  • Understanding Machine Learning: From Theory to Algorithms (2014). S. Shalev-Shwartz and S. Ben- David.
    unspecified
Spring 2023 · Tools of Intelligent System Design

Topics

  • Machine learning and artificial neural networks
  • Classification, support-vector machines and nonlinear regression
  • Deep learning and applications
  • Approximate reasoning and fuzzy inference
  • Evolutionary computing and hybrid intelligent systems

Readings

  • Soft Computing and Intelligent Systems Design
    F. Karray and C. de Silva · unspecified
    Addison Wesley/Pearson, 2004; principal source.
  • Machine Learning
    S. Marsland · unspecified
    CRC, 2015; principal source.
  • Computational Intelligence: A Methodical Introduction
    R. Kruse, C. Borgelt and C. Braune · 2nd · unspecified
    Springer, 2016; principal source.
  • Artificial Intelligence: A Guide to Intelligent Systems
    M. Negnevitsky · recommended
    Pearson, 2006; related text.
  • Neural Fuzzy Systems
    C. T. Lin and C. S. Lee · recommended
    Prentice Hall, 1995; related text.
  • NeuroFuzzy and Soft Computing
    J. Jang, C. Sun and E. Mizutani · recommended
    Prentice Hall, 1997; related text.
  • Online supplementary material on computational intelligence is posted on LEARN.
    unspecified
Spring 2022 · Computational Intelligence/ Intelligent Systems Design

Topics

  • Machine learning and artificial neural networks
  • Classification, support-vector machines and nonlinear regression
  • Deep learning and applications
  • Approximate reasoning and fuzzy inference
  • Evolutionary computing and hybrid intelligent systems

Readings

  • Soft Computing and Intelligent Systems Design
    F. Karray and C. de Silva · unspecified
    Addison Wesley/Pearson, 2004; principal source.
  • Machine Learning
    S. Marsland · unspecified
    CRC, 2015; principal source.
  • Computational Intelligence: A Methodical Introduction
    R. Kruse, C. Borgelt and C. Braune · 2nd · unspecified
    Springer, 2016; principal source.
  • Artificial Intelligence: A Guide to Intelligent Systems
    M. Negnevitsky · recommended
    Pearson, 2006; related text.
  • Neural Fuzzy Systems
    C. T. Lin and C. S. Lee · recommended
    Prentice Hall, 1995; related text.
  • NeuroFuzzy and Soft Computing
    J. Jang, C. Sun and E. Mizutani · recommended
    Prentice Hall, 1997; related text.
  • Online supplementary material on computational intelligence is posted on LEARN.
    unspecified
Spring 2021 · Computational Intelligence

Topics

  • Machine learning and artificial neural networks
  • Classification, support-vector machines and nonlinear regression
  • Deep learning and applications
  • Approximate reasoning and fuzzy inference
  • Evolutionary computing and hybrid intelligent systems

Readings

  • Soft Computing and Intelligent Systems Design
    F. Karray and C. de Silva · unspecified
    Addison Wesley/Pearson, 2004; principal source.
  • Machine Learning
    S. Marsland · unspecified
    CRC, 2015; principal source.
  • Computational Intelligence: A Methodical Introduction
    R. Kruse, C. Borgelt and C. Braune · 2nd · unspecified
    Springer, 2016; principal source.
  • Artificial Intelligence: A Guide to Intelligent Systems
    M. Negnevitsky · recommended
    Pearson, 2006; related text.
  • Neural Fuzzy Systems
    C. T. Lin and C. S. Lee · recommended
    Prentice Hall, 1995; related text.
  • NeuroFuzzy and Soft Computing
    J. Jang, C. Sun and E. Mizutani · recommended
    Prentice Hall, 1997; related text.
  • Online supplementary material on computational intelligence is posted on LEARN.
    unspecified
Spring 2020 · Computational Intelligence

Topics

  • Machine learning and artificial neural networks
  • Classification, support-vector machines and nonlinear regression
  • Deep learning and applications
  • Approximate reasoning and fuzzy inference
  • Evolutionary computing and hybrid intelligent systems

Readings

  • Soft Computing and Intelligent Systems Design
    F. Karray and C. de Silva · unspecified
    Addison Wesley/Pearson, 2004; principal source.
  • Machine Learning
    S. Marsland · unspecified
    CRC, 2015; principal source.
  • Computational Intelligence: A Methodical Introduction
    R. Kruse, C. Borgelt and C. Braune · 2nd · unspecified
    Springer, 2016; principal source.
  • Artificial Intelligence: A Guide to Intelligent Systems
    M. Negnevitsky · recommended
    Pearson, 2006; related text.
  • Neural Fuzzy Systems
    C. T. Lin and C. S. Lee · recommended
    Prentice Hall, 1995; related text.
  • NeuroFuzzy and Soft Computing
    J. Jang, C. Sun and E. Mizutani · recommended
    Prentice Hall, 1997; related text.
  • Online supplementary material on computational intelligence is posted on LEARN.
    unspecified
Sources