| 01 Machine Learning and Statistical Learning.pdf | Download |
| 02 Perceptron.pdf | Download |
| 03 k-Nearest Neighbors.pdf | Download |
| 04 Bayesian Classifiers.pdf | Download |
| 06 Logistic Regression and Maximum Entropy.pdf | Download |
| 07 Support Vector Machines.pdf | Download |
| 09 Expectation-Maximization and Extensions.pdf | Download |
| 13 Introduction to Unsupervised Learning.pdf | Download |
| 14 Clustering Methods.pdf | Download |
| 15 Singular Value Decomposition.pdf | Download |
| 16 Principal Component Analysis.pdf | Download |
| Appendix-Distribution-Measures.pdf | Download |
| DL/01 Overview Linear Algebra and NDArray.pdf | Download |
| DL/03 Derivatives Backpropagation and Complexity.pdf | Download |
| DL/04 Linear Methods Basic Optimization and Linear Regression.pdf | Download |
| DL/05 Maximum Likelihood Estimation and Logistic Regression.pdf | Download |
| DL/06 Multilayer Perceptrons.pdf | Download |
| DL/08 Numerical Stability Activation Functions and Hardware.pdf | Download |
| DL/11 Convolution and Pooling Layers.pdf | Download |
| DL/12 LeNet AlexNet VGG and NiN.pdf | Download |
| DL/13 Inception Batch Normalization and Residual Networks.pdf | Download |
| DL/15 Image Augmentation Fine-Tuning and Style Transfer.pdf | Download |
| DL/16 Object Detection and Computer Vision Training Techniques.pdf | Download |
| DL/18 Sequence Models.pdf | Download |
| DL/19 Recurrent Neural Networks.pdf | Download |
| DL/20 Advanced Recurrent Neural Networks.pdf | Download |
| DL/24 Attention Mechanisms.pdf | Download |
| DL/24 ViT.pdf | Download |
| DL/25 Optimization Problems.pdf | Download |
| DL/DM/00 Prerequisites.pdf | Download |
| DL/DM/01 AE.pdf | Download |
| DL/DM/02 EM.pdf | Download |
| DL/DM/03 VAE.pdf | Download |
| DL/DM/04 GAN.pdf | Download |
| DL/DM/05 Diffusion Model.pdf | Download |
| DL/LM/00 Language Model Overview.pdf | Download |
| DL/LM/01 Text Preprocessing.pdf | Download |
| DL/LM/02 Statistical Language Models.pdf | Download |
| DL/LM/03 Word Embeddings.pdf | Download |
| DL/LM/04 Sequence-to-Sequence Models.pdf | Download |
| DL/LM/05 Pretrained Models.pdf | Download |
| Linear-Algebra-Fundamentals-ML.pdf | Download |