All the current and future topics of LearnByMarketing are listed here. Not all topics are available, and many won’t be for months to come. Check back every once-in-a-while to see new explanations and collection of resources for these statistical data mining methods.
Regression
- Simple Linear Regression
- Multiple Linear Regression
- Logistic Regression
- Ridge Regression
- Non-Linear Regression
Neural Networks
- Neural Networks and Backpropogation
- Resilient Backpropogation
- Recurrent Neural Networks
Bayesian
- Bayes Theorem
- Naive Bayes Classifier
- Bayesian Belief Networks
Clustering / Distance-Based
- KMeans
- K-Nearest Neighbors
- Hierarchical
Decision Trees
- Classification and Regression Trees
- Random Forests
Ensembles
- Bagging
- Boosting (Gradient Boosting)
- Stacking
Time Series
- Auto Regressive
- Moving Average
- ARIMA
- Locally-Weighted Regression
Feature Extraction
- Latent Semantic Analysis
- Multi-Dimensional Scaling
- Principal Component Analysis
- Singular Value Decomposition
- Matrix Factorization
Linear-Mapping
- Linear Discriminant Analysis
- Support Vector Machines
Association Rules
- Apriori Algorithm
- FP Growth Algorithm
- NB Rules
Distributed Computing
- Hadoop / MapReduce
- SPARK