Summary

In this chapter, we gained a quick understanding of the field of biotechnology. First, we looked at some historical facts as they relate to the field, as well as some of the ways this field has been reshaped into what it looks like today. Then, we explored the areas within the field of biotechnology that are most impacted by machine learning and AI. Finally, we explored some of the most common and basic machine learning software you will need to get started in the field.

Throughout this book, Python and SQL will be the main languages we will use to develop all of our models. We will not only go through the specific instructions of how to install each of these requirements, but we will also gain hands-on knowledge throughout the many examples and tutorials within this book. AWS and GCP will be our two main cloud-based platforms for deploying all of our models, given their commonality and popularity among data scientists.

In the next chapter, we'll introduce the Python command line. With that in mind, let's go ahead and get started!