pikoyoyo / spring2022-week4

MUSA 650: Machine Learning in Remote Sensing

Week4: Supervised learning, bias variance threadoff, model complexity, PCA

This repository contains:

• A visual intro to supervised learning
• Bias and variance
• Model complexity, a regression example
• Classifier Comparison
• Feature Reduction (Prac3_PCAFaces.ipynb)

Access to colab for running notebooks:

• Copy shared datasets in a google drive folder
• Go to Google Colab, copy the Jupyter notebook there, or access directly from GitHub (or copy it in your Google Drive, click on it and select "open in Colab")
• Run the notebook (!!! you may need to edit the path to data)

Article of the week:

https://thinkml.ai/five-biggest-failures-of-ai-projects-reason-to-fail/