13.1 Machine Learning Process (Quick Intro)

There are three main phases in an ML process

  • Training Phase: Training Data is used to train the model by using expected output with the input. Output is the learning model.
  • Validation/Test Phase: Measuring the validity and fit of the model. How good is the model? Uses validation dataset, which can be a subset of the initial dataset.
  • Application Phase: Run the model with real world data to generate results