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BUSINESS Q775

Optimization and Machine Learning with Big Data

Graduate

Winter 2023

Topics

  • optimization
  • machine learning
  • big data
  • artificial intelligence

Readings

  • Bell, J. (2020). Machine learning: hands-on for developers and technical professionals. John Wiley &Sons.
    See source
  • Dean, J. (2014). Big data, data mining, and machine learning: value creation for business leaders andpractitioners. John Wiley & Sons.
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  • Hastie, T., Tibshirani, R., & Friedman, J. (2009). The elements of statistical learning: data mining,inference, and prediction. Springer Science & Business Media.
    See source
  • Ignizio, J. P., & Cavalier, T. M. (1994). Linear programming. Prentice-Hall, Inc.
    See source
  • Manoochehri, M. (2013). Data just right: introduction to large-scale data & analytics. Addison-Wesley.
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  • Martin, R. K. (2012). Large scale linear and integer optimization: a unified approach. SpringerScience & Business Media.
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  • Mohammed, M., Khan, M. B., & Bashier, E. B. M. (2016). Machine learning: algorithms andapplications. CRC Press.
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  • Rogers, S., & Girolami, M. (2016). A first course in machine learning. CRC Press.
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  • Sra, S., Nowozin, S., & Wright, S. J. (Eds.). (2012). Optimization for machine learning. MIT Press.
    See source
Sources