A model in machine learning is the output of a machine learning algorithm run on data. A model represents what was learned by a machine learning algorithm.
The model artifact is what gets saved after running a machine learning algorithm on training data and represents the rules, numbers, and any other algorithm-specific data structures required to make predictions. Models are leveraged by Cortex Skills to run computational AI tasks.
By the end of this module you will be able to:
- Understand what a Model is
- Understand what an Experiment is
- Understand how Experiments are used
