Название: Explainable Artificial Intelligence: An Introduction to Interpretable Machine LearningАвтор: Uday Kamath, John Liu
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 328
Размер: 11,6 Mb
Язык: English
This book is written both for readers entering the field, and for practitioners with a background in AI and an interest in developing real-world applications. The book is a great resource for practitioners and researchers in both industry and academia, and the discussed case studies and associated material can serve as inspiration for a variety of projects and hands-on assignments in a classroom setting. I will certainly keep this book as a personal resource for the courses I teach, and strongly recommend it to my students.