Neil Lawrence & Mahesan Niranjan 
Deterministic and Statistical Methods in Machine Learning [PDF ebook] 
First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures

This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs) . DNNs are currently widely used for many artificial in …

This book provides an overview of Federated Learning and how it can be used to build real-world AI-enabled applications. Real-world AI applications frequently have training data distributed in many d …

Neural Network Computer Vision with Open CV equips you with professional skills and knowledge to build intelligent vision systems using Open CV. It creates a sequential pathway for understanding morp …

The Potential of Generative AI invites you for a captivating journey into the revolutionary technology, where machines become co-creators and the line between imagination and reality blurs. You will …

This volume provides a comprehensive introduction to foundational topics in sound design for linear media, such as listening and recording; audio postproduction; key musical concepts and forms such a …

Learn Data Science from Scratch equips you with the essential tools and techniques, from Python libraries to machine learning algorithms, to tackle real-world problems and make informed decisions.Thi …

<p><b>Leverage the power of SQL to perform geospatial analysis and increase your speed and efficiency working with a variety of spatial applications such as Post GIS and QGIS</b>&lt …

This book researches the intricate world of generative Artificial Intelligence, offering readers an extensive understanding of various components and applications in this field.The book begins with a …