In this section, we will understand how a simple model predicts and how it learns from data. We will then move on to deep networks, which will give us some insight on why they are better and more efficient compared to other networks.
Assume we are given a task to predict whether a person could have heart disease in the near future. We have a considerable amount of data about the history of the individual and whether they got heart disease later on or not.
The parameters that will be taken into consideration are age, height, weight, genetic factors, whether the patient is a smoker or not, and their lifestyle. Let us begin by building a simple model:
All the information we have for the individual we will ...
