Machine Learning (ML)
ML Fundamentals
Basic knowledge of Machine Learning.
Model Selection
How to properly select a Machine Learning model.
Regression
Describe the relationship between one or more independent variables and a response, dependent, or target variable.
Classification
Assign a class label to imput sample.
Decision Trees
A non-parametric supervised learning method used for classification and regression.
Ensemble Learning
Use multiple learning algorithms to obtain better predictive performance than could be obtained from any of the constituent learning algorithms alone.
Non-parametric
Do not make strong assumptions about the form of the mapping function or data distribution.
Unsupervised Learning
Learn patterns from untagged data.