Model

A model in the context of machine learning is an object which is used to transform input data into insights. Models usually consist of some fixed data encoding their knowledge, and then an algorithm for generating results from the combination of this data, and input data.

There are a number of popular model types. These include: 

1. Large language models (see large language models definition)
2. Deep neural networks (see deep neural networks definition)
3. Linear regression
4. Logistic regression
5. Decision trees
6. Linear discrimination analysis
7. Naive bayes
8. Support vector machines
9. Learning vector quantization
10. K-nearest neighbours
11. Random forest