Machine learning is awesome! Unfortunately, some parts can be frustrating. Here, I do my best to alleviate that frustration with some short, hopefully useful guides, intended for the students of CMSC 25025: Machine Learning and Large-scale Data Analysis at the University of Chicago.
- A quick demo on matplotlib and numpy basics can be found here.
- The "Earth to Jupyter in 30 Seconds: Getting Started on Midway" guide can be found here. It's useful for logging into the Research Computing Center and starting a Jupyter notebook.
- An example using the
keras
API to classify MNIST digits can be found here.