Case Studies
In this series of case studies, you will explore key concepts in machine learning and data science through hands-on examples using different datasets and platforms.
Handwritten Digit Classification using ARC Resources
✅ Learn how to work with the MNIST dataset to classify handwritten digits.
✅ Implement a convolutional neural network (CNN) for image classification.
✅ Understand the advantages of using the Alliance’s Advanced Research Computing (ARC) resources for training deep learning models.
Handwritten Digit Classification using Google Colab
✅ Explore how to run and modify a machine learning notebook in Google Colab.
✅ Learn to configure a runtime environment with T4 GPUs.
✅ Compare and contrast Colab and the ARC resources in terms of ease of use, performance, scalabiity, and cost.
Predicting Temperatures in Canadian Cities
✅ Analyze historical temperature data from the Berkeley Earth Surface Temperature dataset.
✅ Use data visualization tools like matplotlib and seaborn to visualize temperature trends.
✅ Implement a simple regression model to predict temperatures in Canadian cities and evaluate it’s performance.