Preface

We have seen major changes in the field of machine learning in the last few years that have impacted our daily lives and the way business decisions are made. If there is one thing that the biotechnology and life sciences industries have in abundance, it is their never-ending sources of data. As we move toward more data-driven models, the intersection of life sciences and machine learning has seen unprecedented growth, uncovering vast quantities of information and hidden patterns giving companies major competitive advantages.

Over the course of this book, we will touch on some of the most important elements of machine learning from both a supervised and unsupervised perspective. We will not only learn to develop and train robust models, but also deploy them in the cloud using AWS and GCP, allowing us to make them immediately available for end users.