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Large-scale Data Analysis supplementary material.

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machine-learning computer-vision tensorflow tensorflow-keras keras tutorials numpy matplotlib jupyter midway python mnist classification neural-networks convolutional-neural-networks ssh

lsda's Introduction

Benjamin Killeen's Supplementary Material for CMSC 25025

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.

  1. A quick demo on matplotlib and numpy basics can be found here.
  2. 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.
  3. An example using the keras API to classify MNIST digits can be found here.

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