Textbook in PDF format Artificial intelligence is already ubiquitous in the life sciences, from cancer diagnosis to medical image analysis, from precision agriculture to wildlife monitoring. It is therefore essential for any scientist, especially life scientists, to have a basic understanding of deep learning, the statistical engine behind AI. This book kicks off the “Decoding Evolution” series, a collaboration between Physalia-courses and Springer Nature. The series aims to demystify bioinformatics, statistics, and data science, making these topics approachable even for readers new to the field. Filippo and Nelson have nailed it with this book. They break down complex concepts like Deep Learning into practical, easy-to-understand language, inspiring readers to dive into using these models on their own data, without the usual fear and hesitation that can hold beginners back