December 2021
Intermediate to advanced
352 pages
9h 18m
English
In this chapter you will learn about common machine learning algorithms that can be used to solve various business use cases. In previous chapters you learned how to source, label, wrangle, and clean data, as well as engineer the necessary features required to train machine learning models. Now we will cover the actual models themselves that you train on your data. We will discuss training models locally for experimentation versus using distributed training for large datasets. ...