Inference and Learning from Data: Volume 1. Foundations, Hardback

Written in an engaging and rigorous style by a world authority in the field, this is an accessible and comprehensive introduction to core topics in inference and learning. With downloadable Matlab code and solutions for instructors, this is the ideal introduction for students of data science, machine learning, and engineering.

• Publisher: Cambridge University Press
• Author(s): Ali H. (Ecole Polytechnique Federale de Lausanne) Sayed
• Illustration(s): Worked examples or Exercises
• Number of pages: 1010
• Publication date: 2022
• Dimensions: 183 x 250 x 45
• Cover type: Hardback