Class 30
- Linear Algebra 10 - Diffusion
- Advanced Machine Learning 13 - Generative Models & Diffusion Models
- Linear Algebra 9 - Principal Component Analysis
- Advanced Machine Learning 12 - Transformer (2)
- Linear Algebra 8 - Continuous Normalizing Flow
- Deep Learning 6 - Attention & Transformer
- Advanced Machine Learning 11 - RNNs (2) & Transformer (1)
- Advanced Machine Learning 10 - CNNs & RNNs (1)
- Linear Algebra 7 - Normalizing Flow
- Advanced Machine Learning 9 - Neural Networks (2)
- Deep Learning 5 - LSTM & GRU
- Advanced Machine Learning 8 - Neural Networks (1)
- Deep Learning 4 - RNNs
- Linear Algebra 6 - VAE & GAN
- Advanced Machine Learning 7 - Ensemble
- Linear Algebra 5 - Generative Model & VAE
- Advanced Machine Learning 6 - Estimating Probabilities from Data (3)
- Deep Learning 3 - CNNs
- Linear Algebra 4 - Convolutional Neural Network
- Advanced Machine Learning 5 - Estimating Probabilities from Data (2)
- Linear Algebra 3 - Training Neural Network
- Advanced Machine Learning 4 - Estimating Probabilities from Data (1)
- Deep Learning 2 - FNNs & DNNs
- Linear Algebra 2 - Statistical Model
- Advanced Machine Learning 3 - kNN & Bias-Variance Trade-off
- Deep Learning 1 - ML Overview
- Advanced Machine Learning 2 - Supervised Learning & Empirical Risk Minimization
- Linear Algebra 1 - Continuous Random Variable
- Advanced Machine Learning 1 - Preliminaries
- Advanced Machine Learning 0 - Intro