Skip to Main Content

Artificial Intelligence

Course Reserves

Starting out with the most popular textbooks on the topic.

Machine Learning by Andreas Lindholm, Niklas Wahlström, Fredrik Lindsten, Thomas B. Schön
ISBN: 9781108843607

Publication Date: 2022

Textbook adopted in the course: 30412 - Machine learning.
For more recommendations, take a look at the course reading list.
Pattern Recognition and Machine Learning by Christopher M. Bishop
ISBN: 9781493938438

Publication Date: 2016

Optional reading for the course: 30412 - Machine learning.
For more recommendations, take a look at the course reading list.
Reinforcement Learning by Richard S. Sutton, Andrew G. Barto
ISBN: 9780262352703

Publication Date: 2018

Textbook adopted in the course: 20876 - Deep learning and reinforcement learning.
For more recommendations, take a look at the course reading list.
Theoretical Neuroscience by Peter Dayan, L. F. Abbott
ISBN: 0262271303

Publication Date: 2005

Recommended reading for the course: 30653 - Mathematical modelling for neuroscience.
For more recommendations, take a look at the course reading list.
Understanding Deep Learning by Simon J. D. Prince
ISBN: 9780262048644

Publication Date: 2023

Textbook adopted in the course: 20876 - Deep learning and reinforcement learning.
For more recommendations, take a look at the course reading list.
Understanding Machine Learning by Shai Shalev-Shwartz, Shai Ben-David
ISBN: 1107298016

Publication Date: 2014

Textbook adopted in the course: 30652 - Machine learning and Artificial Intelligence.
For more recommendations, take a look at the course reading list.

Last Updated: Jul 7, 2025 4:04 PM
URL: https://unibocconi.libguides.com/artificialintelligence
Print Page

Subjects: Artificial intelligence, Computational intelligence, Machine learning, Natural language processing, Neural networks