Supervised learning
AWS provides supervised learning algorithms for general purposes (regression and classification tasks) and more specific purposes (forecasting and vectorization). The list of built-in algorithms that can be found in these sub-categories is as follows:
- Linear learner algorithm
- Factorization machines algorithm
- XGBoost algorithm
- KNN algorithm
- Object2Vec algorithm
- DeepAR forecasting algorithm
You will start by learning about regression models and the linear learner algorithm.
Working with regression models
Looking at linear regression models is a nice way to understand what is going on inside regression models in general (linear and non-linear regression models). This is mandatory knowledge for every data scientist and can help you solve real challenges as well. You will now take a closer look at this in the following subsections.
Introducing regression algorithms
Linear regression models aim to predict a numeric value...
