Title: Deep Learning: Foundations and Concepts, Author: Christopher M. Bishop
Title: Pattern Recognition and Machine Learning, Author: Christopher M. Bishop
Title: Understanding Deep Learning, Author: Simon J.D. Prince
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Author: Trevor Hastie
Title: Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications, Author: Bhanu Chander
Title: AI for Health Equity and Fairness: Leveraging AI to Address Social Determinants of Health, Author: Arash Shaban-Nejad
Title: Artificial Intelligence: Advanced Algorithms, Author: Jeremy Rogerson
Title: Deep Learning, Author: Ian Goodfellow
Title: Linear Algebra for Data Science, Machine Learning, and Signal Processing, Author: Jeffrey A. Fessler
Title: Computer Vision: Algorithms and Applications, Author: Richard Szeliski
Title: Deep Generative Modeling, Author: Jakub M. Tomczak
Title: GeoAI: Artificial Intelligence in GIS, Author: Ismael Chivite
Title: Bandit Algorithms, Author: Tor Lattimore
Title: Network Models in Finance: Expanding the Tools for Portfolio and Risk Management, Author: Gueorgui S. Konstantinov
Title: Patterns, Predictions, and Actions: Foundations of Machine Learning, Author: Moritz Hardt
Title: The Evolution of the Sensitive Soul: Learning and the Origins of Consciousness, Author: Simona Ginsburg
Title: Mathematics for Machine Learning, Author: Marc Peter Deisenroth
Title: Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms, Author: Nikolaus Correll
Title: Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, Author: Yoav Shoham
Title: Estimation with Applications to Tracking and Navigation: Theory Algorithms and Software, Author: Yaakov Bar-Shalom

Pagination Links