TL; DR

A course on machine learning for scientists “Machine Intelligence, interdisciplinary perspective”. Platform: https://en.pelican.study/.

My role

• Lectures and homeworks (python, pytorch-lightning) topics:
  • Deep Learning foundations: Convolutional Neural Network, BatchNorm, etc.
  • Computer Vision foundations: Image Classification, Transfer Learning, etc.
  • AutoEncoders
  • Normalizing Flows
  • Anomaly detection
  • Time series