• Mainly follow the Jared Kaplan's lectures: ContemporaryMLforPhysicists.pdf

  • Another very useful review is: A high-bias, low-variance introduction to Machine Learning for physicists 1803.08823

  • Tishby, Pereira, Bialek, the information bottleneck method: allerton.pdf

  • The renormalization group applied to neural networks: (https://www.groundai.com/project/neural-network-renormalization-group/1)

There is a github repository with code examples and tutorials (thanks to Ayan Paul).

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