Summary

In this chapter, we were able to cover the topic of matrices, which is fundamental to a number of topics, both in mathematics and in using Python. Data science today is primarily based on the efficient use of matrices. We studied their application in the form of Markov chains and, although an important topic, there is no dearth of topics to explore that come under the umbrella of applications using matrices.

Next, we will delve into the world of statistics. We will use a more formal and systematic approach in first understanding the building blocks of statistics, then understanding the role of probability and variables, and finally tying these concepts together to implement statistical modeling.