Tutorials

Agenda/Objectives

Short introduction to machine learning and artificial intelligence, followed by supervised learning examples.

Links to Jupyter-notebooks

• nbviewer - jupyter
  • 1. Regression (Boston House Price)
  • 2. Classification (Breast Cancer, Iris, MNIST)
  • 3. Deeplearning (MNIST)
  • All notebooks
• Google Colab
  • 1. Regression (Boston House Price)
  • 2. Classification (Breast Cancer, Iris, MNIST)
  • 3. Deeplearning (MNIST)
• Binder
  • All notebooks
  • https://tinyurl.com/MLTutorial

Slides

• Introdcution to ML and DL (30/07/2021 - CU_FDP) PPT | PDF