Machine learning: Types (part-3)

Inference refers to reaching an outcome or decision. There are different paradigms for inference that may be used as a framework for understanding how some machine learning algorithms work or how some learning problems may be approached. Some examples of approaches to learning are inductive, deductive, and transductive learning and inference. Inductive learning involves using evidence to determine the outcome. Inductive reasoning refers to using specific cases to determine general outcomes, ex- specific to general.