Resources

Lecture Notes & Template

• Lecture 1: What Is Machine Learning?Download Lecture 1 PDF
• Lecture 2: k-Nearest NeighborsDownload Lecture 2 PDF
• Lecture 3: Linear RegressionDownload Lecture 3 PDF
• Lecture 4: Gradient Descent and OptimizationDownload Lecture 4 PDF
• All lecture-note PDFs on GitHub
• Learn ML by Building LaTeX template — reusable source, figure and table conventions, and a compiled preview.

Software & Tools

• Python Installation
• Google Colab
• GitHub Student Pack

Documentation

• NumPy Documentation
• PyTorch Tutorials
• fast.ai — inspiration for our practical, project-first teaching approach
• Scikit-learn User Guide