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machine-learning-materials

This repo contains my solutions to Machine Learning course - Winter 2024 - CS Department of Sharif University of Technology, instructed by professor Fatemeh Seyyedsalehi.

It also contains some materials from Machine Learning Specialization course on coursera which is offered by Stanford University and DeepLearning.ai, instructed by Andrew Ng, as one of the references of the main course is this course.

References of the course are listed below:

  • Pattern Recognition and Machine Learning, C. Bishop, Springer, 2006.
  • Machine Learning,T. Mitchell, MIT Press,1998.
  • The elements of statistical learning, T. Hastie, R. Tibshirani, J. Friedman, Second Edition, 2008.
  • Machine Learning: A Probabilistic Perspective, K. Murphy, MIT Press, 2012.
  • Richard Sutton and Andrew Barto, Reinforcement Learning: An introduction. MIT Press, Second edition, 2017.
  • Andrew Ng, Machine learning, Stanford.
  • Yaser Abu-Mostafa, Learning from data, Caltech.
  • Mahdieh Soleymani, Machine learning, Sharif University of Technology.

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This repo contains my solutions to Machine Learning course - Winter 2024 - CS Department of Sharif University of Technology, instructed by professor Fatemeh Seyyedsalehi.

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