Chapter 1: Understanding the AI/ML landscape
In this opening chapter, we'll give you a little appreciation and context to the why behind AI and machine learning (ML). The only data we have comes from the past, and using that will help us predict the future. We'll take a look at the massive amount of data that is coming into the world today and try to get a sense of the scale of what we have to work with.
The main goal of any type of software or algorithm is to solve business and real-world problems, so we'll also take a look at how the applications take shape. If we use a food analogy, data would be the ingredients, the algorithm would be the chef, and the meal created would be the model. You'll learn about the most commonly used types of models ...
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