Summary

In this chapter, you learned how to gather, organize, and parse data. This is the first step, and one of the most important step, in developing machine learning models, but having data does not get us very far if we do not gain some intuition about our data and put it into a standard form for processing. Next, we will tackle some techniques for further structuring our data (matrices) and for understanding our data (statistics and probability).