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Ferdowsi University of Mashhad, Computer Science Dept. Machine Learning course materials

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Computer Science Dept, Ferdowsi University of Mashhad

Machine Learning

An introduction to machine learning.

2024 Instructor: Mahmood Amintoosi

I should mention that the original material of this course was from Open Machine Learning Course, by Joaquin Vanschoren and others.

ML-related textbooks

  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron. Code/notebooks available here. (Endorsed by an MDS student!)
  • James, Gareth; Witten, Daniela; Hastie, Trevor; and Tibshirani, Robert. An Introduction to Statistical Learning: with Applications in R. 2014. Plus Python code and more Python code.
  • Russell, Stuart, and Peter Norvig. Artificial intelligence: a modern approach. 1995.
  • David Poole and Alan Mackwordth. Artificial Intelligence: foundations of computational agents. 2nd edition (2017). Free e-book.
  • Kevin Murphy. Machine Learning: A Probabilistic Perspective. 2012.
  • Christopher Bishop. Pattern Recognition and Machine Learning. 2007.
  • Pang-Ning Tan, Michael Steinbach, Vipin Kumar. Introduction to Data Mining. 2005.
  • Mining of Massive Datasets. Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman. 2nd ed, 2014.

Math for ML

Other ML resources

Interesting ML Competition Write-Ups

Build

  • jupyter-book build ./
  • ghp-import -n -p -f ./_build/html