We suggest the students familiarize themselves with the following material before the school starts:
Required:
- Python basics (https://docs.python.org/3/tutorial/)
Would be benefitial:
- Understanding of a supervised learning problem setting (https://scikit-learn.org/stable/tutorial/basic/tutorial.html)
- Basic classification algorithms (Logistic regression, Decision Trees, MLP) (https://scikit-learn.org/stable/supervised_learning.html#supervised-learning)
- PyTorch basics (https://pytorch.org/tutorials/beginner/basics/intro.html)
