SUBHANKAR MISHRA ଶୁଭଂକର ମିଶ୍ର

Reader-F, School of Computer Sciences, NISER
ପାଠକ-ଏଫ, ସଂଗଣକ ବିଜ୍ଞାନ ବିଦ୍ୟାଳୟ, ନିଷେର

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Learn Machine Learning

Mathematics

• Linear Algebra
  • https://nptel.ac.in/courses/111106051
• Real Analysis
  • https://nptel.ac.in/courses/111106053
• Probability
  • Bertsekas, Dimitri P., and John N. Tsitsiklis. Introduction to probability. Vol. 1. Athena Scientific, 2008.
  • Other books are also fine.
• Information Theory
  • MacKay, David JC, and David JC Mac Kay. Information theory, inference and learning algorithms. Cambridge university press, 2003.

Machine Learning

• Machine learning
  • https://www.coursera.org/learn/machine-learning
• Deep learning
  • https://www.coursera.org/specializations/deep-learning
• Graph Neural Networks
  • https://geometricdeeplearning.com/lectures/
• Private AI
  • https://www.udacity.com/course/secure-and-private-ai--ud185

Programming

• Basics
  • Github
    • https://www.coursera.org/learn/introduction-git-github
  • Python (This is for python 2, but this will do. Go for python 3 if you want, but that is paid)
    • https://www.codecademy.com/learn/learn-python
• PyTorch
  • https://www.coursera.org/learn/deep-neural-networks-with-pytorch
• PyTorch Geometric
  • https://pytorch-geometric.readthedocs.io/en/latest/
• Private AI
  • https://github.com/intel/openfl

Datasets