Supervised Machine Learning

Introduction to Supervised Learning

Supervised learning is a type of machine learning where the model is trained on a labeled dataset. This type of learning involves a dataset that has inputs with corresponding correct outputs. The aim is to learn a mapping from inputs to outputs.

Applications

Popular Algorithms

  1. Linear Regression
  2. Support Vector Machines (SVM)
  3. Neural Networks

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