Subfields of AI

Now that we’ve explored the origins of AI and understood how it evolved over the years, let’s look at the different subfields that constitute this vast field of study. At this stage, it’s important to note that there isn’t a single subdivision acceptable to everyone. There might be other ways of dividing these areas, and some might also overlap. However, this is an attempt at logically organizing the subfields of AI.

Figure 1.2 – Subfields of AI

ML

ML tries to create algorithms capable of learning. It typically starts by using data found in a training set and then generates predictions out of that data. DL is one of the various subfields of ML, which tries to create learning algorithms while gaining inspiration from the brain’s inner workings. Today, this subfield is considered the superstar of AI, and in fact, it is used in almost all the other subfields. ML has various applications such as...