Current progress is updated in progress.txt
中文版欢迎关注我的CSDN
-
Linear Algebra
-
Calculus
-
Statistical Measures
-
Feature Engineering
-
Feature Selection
-
Model Evaluation
- Model_Eval
- Offline Metrics
- Online Metrics
-
Linear Regression
- Overview
- Least Squares
- Assumptions of Linear Regression
- Performance Metrics for Linear Regression
-
Logistic Regression
-
T-SNE
-
Dimensionality Reduction
- Neural Network
- Feed Forward Neural Network (FFNN)
- Activation Functions
- Backpropagation
- Neural Network Layers
- Linear Layer
- [Other Layers...]
- Neural Network Models
- Loss Functions
- Optimization Algorithms
- Overview
- Gradient Descent
- Batch Gradient Descent
- Stochastic Gradient Descent (SGD)
- Mini-Batch Gradient Descent
- Advanced Optimization Algorithms
- Regularization
- Overview
- Language Model Evaluation Metrics
- Perplexity
- [Other relevant metrics...]
- RNN (Recurrent Neural Networks)
- CNN (Convolutional Neural Networks)
- Transformers
- Original Transformer
- BERT (Bidirectional Encoder Representations from Transformers)
- GPT (Generative Pre-trained Transformer)
- T5 (Text-to-Text Transfer Transformer)
- Model Comparisons: CNN vs. RNN vs. Transformer
- Embedding