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 …

Self on Audio: The collected audio design articles of Douglas Self, Third Edition is the most comprehensive collection of significant articles in the technical audio press. This third edition feature …

An ideal reference source for CEOs, marketing and sales managers, sales consultants, and students of international marketing, Guide to Software Export provides a step-by-step approach to initiating o …

"Modern Data Mining with Python" is a guidebook for responsibly implementing data mining techniques that involve collecting, storing, and analyzing large amounts of structured and unstructu …

Deep learning has become a trending area of research due to its adaptive characteristics and high levels of applicability. In recent years, researchers have begun applying deep learning strategies to …

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 …

Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI …

The Future of the Artificial Mind is about the social and technological challenges posed by the new wave of artificial intelligence, both from a technical and a cognitive perspective. Deep neural net …

The special issue is dedicated to National conference on Communication, computational intelligence and learning-NCCCIL sponsored by AICTE and organized by Department of Information Technology at Army …