Steps involved in a Learning System
543 Views • Posted On July 5, 2020
Prerequisites: Introduction to Machine Learning, Applications of Machine Learning
Following are the various steps involved in building a Machine Learning System –
- 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.
- Choose the target function to be learned, of which a model would be generated.
- Choose how to represent the target function, also known as the hypothesis. Rich representations are more difficult to learn.
- Choose from a set of algorithms, a learning algorithm to infer the target function.
Share this tutorial with someone who needs it
Most Popular Tutorials in Data Science
Most Popular Tutorials on Asquero
What are your thoughts?