Learning Summary
Tool
Machine Learning
- Deep Learning
- Convolutional Neural Network
- Recurrent Neural Network
- Traditional Machine Learning
- Linear Regression vs Logistic Regression[notes]
- Regde Regression vs Lasso
- Principle Components Regression
- Partial Least Squares Regression
- Polynomial Regression and Step Functions
- Splines
- Generalized Additive Models
- Linear Discriminant Analysis
- K-Nearest Neighbors
- Support Vector Machines
- Principal Component Analysis
- K-Means Clustering
- Hierarchical Clustering
- Anamaly Detection
- Decision Trees
- Random Forests
- Boosting