Supervised Learning
Learn the basic principles of supervised machine learning.
We'll cover the following...
Supervised ML is a type of ML where the algorithm learns to map inputs to outputs based on a labeled dataset. The labeled dataset consists of input-output pairs, where the output (also called the label or target) is known for each input. The goal of supervised learning is to learn a function that can map new inputs to the correct output.
The first step in supervised learning is to prepare a dataset that contains labeled examples of the problem we want to solve. Labeling is the crucial part because this is how we tell the model what the expected values are for every input. Effectively, this is how we are supervising the training process.
The next step is to ...