List of Notes

Large Language Models

• Tokenization
• Text Encoding
• Word Embedding
• Attention Mechanism
• Transformers
• BERT
• Sentence BERT

Deep Learning

• Error Backpropagation
• Adam Optimizer
• Variational Auto-Encoders
• Vector Quantized VAEs

Classical Machine Learning

• Decision Trees
• Principal Component Analysis
• Linear Discriminant Analysis
• Support Vector Machines

Machine Learning Metrics

• Binary Classification Metrics

Mathematical Foundations

• Basic Linear Algebra
• Eigen Value Decomposition
• Singular Value Decomposition
• Gaussian Distribution
• Gradient
• Lagrange Multiplier