Available completely free online and as a downloadable PDF, D2L.ai is an interactive textbook that blends math, code, and theory. What makes it unique is that every chapter contains fully functional code blocks available in PyTorch, TensorFlow, and MXNet.
If you're eager to learn more about AI and ML, here are some valuable resources: ai and machine learning for coders pdf github
The book is structured to take a traditional programmer and turn them into an AI developer by focusing on building, not just theorizing: Laurence Moroney lmoroney - GitHub Available completely free online and as a downloadable
The official, legal version of the book is published by O'Reilly Media. # Load the iris dataset iris = load_iris() X = iris
# Load the iris dataset iris = load_iris() X = iris.data y = iris.target
: These allow you to run code cells inline with markdown text explanations.
: Contains notebooks used in Moroney's highly successful AI courses, which served as the foundation for the book.