Demystifying Machine Learning

Summary:

• Regression: Output is a continuous value.
  • Simple regression: One input variable, one output variable.
  • Multiple regression: Multiple input variables, one output variable.
  • Multivariate regression: Multiple input variables, multiple output variables.
• Classification: Output is a discrete, categorical value.
  • Binary classification: Predict one out of exactly two possible values.
  • Multi-class classification: Predict one out of multiple possible values.
  • Multi-label classification: Predict one or more values.
• Structured prediction: Output is a complex object.
• Clustering: Output are groups of objects (or more specifically, assignments to groups).
• Always understand your task clearly before embarking on your solution!