An introduction to AI and ML
Artificial Intelligence (AI) is described as the ability of a digital computer to perform tasks that intelligent human beings can perform. ML is a subset of AI. It is used by machines to make decisions based on data without getting specific programmed instructions. It can be used, for example, to indicate whether an email that's been received is spam, to recognize objects, or to make smart predictions. The ML concept is illustrated in the following diagram:
Figure 14.1 – ML flow
As we can see, ML models rely on mathematical models that have been created from an analysis of samples called training data. The process of developing the model is called model training. The purpose of the model is to answer our question with the highest possible degree of accuracy. The better the accuracy, the better the model. You may be confused as to how this model is created. We will look at this in the following section.
