Computational Optimal Transport: With Applications to Data Science (Foundations and Trends(r) in Machine Learning)

Deep Learning with R, Second Edition

Bayesian Networks (Chapman & Hall/CRC Texts in Statistical Science)

An Introduction to Information Theory (Dover Books on Mathematics)

Trust.: Responsible AI, Innovation, Privacy and Data Leadership

Practical Artificial Intelligence with Swift: From Fundamental Theory to Development of AI-Driven Apps

Designing Autonomous AI: A Guide for Machine Teaching

Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples

Supervised Machine Learning: Optimization Framework and Applications with SAS and R

Formal Models and Semantics (Handbook of Theoretical Computer Science, Vol. B)