Data Mining Techs 43
- What? Data Science
- Supervised Model Selection
- Decision Tree
- Naive Bayes
- k-NN
- Support Vector Machine
- Clustering
- k-Means
- DBSCAN
- Hierarchical Clustering
- Dimensionality Reduction
- Principal Component Analysis
- Linear Discriminant Analysis
- t-SNE
- Ensemble
- Neural Network
- What? Statistics
- Probability
- Prob. Dist. Functions
- Sample Dist.
- Statistical Inference
- A/B Test
- Summarize Statistical Method
- Simple Linear Regression Analysis
- Regression Coefficient Estimation
- Multiple Linear Regression Analysis
- Regression Diagnostics
- Variable Issues
- Improvement of OLS
- Logistic Regression Analysis
- What? Bayesian
- Prior Determination
- Posterior Estimation (1) Monte Carlo Simulation
- Posterior Estimation (2) Variational Inference
- Posterior Estimation (3) Kernelized Stein Discrepancy
- Bayes Action
- Bayesian A/B Test
- Multi Armed Bandits
- Bayesian Regression
- Variational AutoEncoder
- Bayesian Attention Modules
- Gaussian Process
- Sparse Gaussian Process