In this chapter, we’ve covered many concepts. Now it can be tough to understand the organization of AI. For instance, it is common to see terms like machine learning and deep learning get confused. But it is essential to understand the distinctions, which we will cover in detail in the rest of this book.
But on a high-level view of things, Figure 1-3 shows how the main elements of AI relate to each other. At the top is AI, which covers a wide variety of theories and technologies. You can then break this down into two main categories: machine learning and deep learning.
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