The old – exploring ML

ML models attempt to create some representation of reality in order to help us make some sort of data-driven decision. Essentially, we use mathematics to represent some phenomenon that’s happening in the real world. ML essentially takes mathematics and statistics to predict or classify some future state. The paths diverge in one of two ways. The first group lies with the emergence of models that continue to progress through statistical models and the second group lies with the emergence of models that try to mimic our own natural neural intelligence. Colloquially, these are referred to as traditional ML and DL models.

You can think of all the models we covered in the Model types – from linear regression to neural networks section of Chapter 2 as ML models, but we didn’t cover ANNs in great depth. We’ll discuss those further in the Types of neural networks section later on in this chapter. In this section, we will take a look...