Defining supervised learning

Building upon the foundations covered in the previous chapter, let’s dive deeper into supervised learning. As discussed earlier, supervised learning involves training a model using labeled data, where the correct answers are already known. This process is analogous to a student learning under the guidance of a knowledgeable teacher.

In the context of business, imagine you’re trying to predict future sales based on historical data. The historical sales data, along with the factors that influence sales (such as marketing spend, seasonality and more), are your labeled data. Your machine learning model learns from this data to predict future sales.

Before getting into the detail of the process of supervised machine learning and different supervised learning algorithms, let’s look at some common applications.

Applications of supervised learning

Supervised learning has a broad range of applications across various industries, such...