Types of Machine Learning Algorithms

Supervised learning (predictive model, labeled data)

• Classfication (Logistic Regression, Decision Tree, KNN, Naive Bayes): used for categorical response variable

• Numeric prediction (Linear Regression, KNN): used for continuous variable

Unsupervised learning (descriptive model, unlabled data): Response variable not available

• Clustering (Kmeans)

• Association

Semi-supervised learning (mixture of labeled and unlabeled data): Categorical response variable

• Classification

• Clustering

Reinforcement learning

• Classification: used for categorical variable (Eg. Optimized Marketing)

• Control: Response variable not available (Eg. Driverless Cars)