A Tour of Machine Learning Through Concepts and Examples
May 23rd, 2023
Instructors: Valentina Staneva and Ariel Rokem
Resources:
- Slides
- Shared Google Doc
- Jupyter Book
- Interactive Notebooks (click this button in the beginning of the session as it takes some time to set up the environment (~10min))
- Backup Option: if Binder times out, you can use Colaboratory
- download the notebook to your computer
- upload to Colab using the upload button
- run in the first cell
pip install ndslib
Agenda:
- Overview of Machine Learning ~ 20min
- Model Evaluation and Selection ~ 1 hour
- Break ~ 15 min
- Introduction to Deep Learning ~ 40min
- Deep learning for Computer Vision ~ 20 min
- Machine Learning Pipelines ~ 10 min
Survey: