Steps involved in a Learning System

Prerequisites: Introduction to Machine Learning, Applications of Machine Learning

Following are the various steps involved in building a Machine Learning System –

1. Choose the training experience, i.e. the data that will be used to train the machine learning model. We represent the data in the form of features or attributes.
2. Choose the target function to be learned, of which a model would be generated.
3. Choose how to represent the target function, also known as the hypothesis. Rich representations are more difficult to learn.
4. Choose from a set of algorithms, a learning algorithm to infer the target function.