Notes

• Batch, Group, and Layer Normalization
• Gradient Descent
• Information Theory
• Machine Learning Model Building
• Model Performance and Compression
• Norms
• Pointer Types in Rust
• Recommendation Systems
• Regularization
• Statistical Hypothesis Testing