Explore the world of machine learning with a deep dive into core principles including supervised and unsupervised methods, neural networks, decision trees, support... Læs mere
Offering a solid foundation in automata theory, formal languages, and computation, this work explores finite automata, regular languages,... Læs mere
This book examines quantum neural networks through renormalization techniques,... Læs mere
This comprehensive guide covers everything you need to know to design and... Læs mere
This concise introduction to statistical modelling and machine learning focuses on core ideas and a carefully selected set... Læs mere
This concise modern introduction to regression covers a wide range of topics and contemporary applications, including high-dimensional regression and causal inference, with concision... Læs mere
Reinforcement Learning (RL) is a branch of Artificial Intelligence (AI) that teaches agents to learn optimal behavior through interaction, feedback, and long-term goals.
Reinforcement Learning (RL) is a branch of Artificial Intelligence (AI) that teaches agents to learn optimal behavior through interaction, feedback, and long-term goals.
This self-contained reference brings readers to the frontier of research on bandit convex optimization while presenting fundamental tools from convex optimization such as gradient-based algorithms, interior point methods and cutting plane methods.
Generative Artificial Intelligence is reshaping how we create, learn, and imagine. This book offers a clear and... Læs mere