To get the most out of this book
The book aims to keep it self-contained as possible. To extract the maximum value out of this book, a basic to intermediate knowledge of Python programming is recommended and a background in genomics, statistics, and bioinformatics and some knowledge of data science is a must. In addition, readers are expected to know the basics of machine learning and associated machine learning algorithms, such as regression and classification. The book provides a hands-on approach to implementation and associated deep learning methodologies that will have you up-and-running and productive in no time. At the end of the book, you will be able to put your knowledge to work with this practical guide.
If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository. This will ensure you avoid any potential error related to copying and pasting of code.
