In this chapter, we reviewed the main points of data analysis. We learned Mathematica's functions that will help to perform data classification (as a supervised learning technique) and data clustering (as an unsupervised learning technique). We got to know how to recognize faces, classify objects in an image, and work with textual information by identifying the language of the text and recognizing the text in the image. Apart from this, we analyzed barcodes as a system of information recognition simplification. We learned to read and create barcodes.
In the next chapter, we'll consider how to use Mathematica's tools to analyze different time series consisting of random variables.