Achim Hoffman & Geoff Holmes 
Discovery Science [PDF ebook] 
13th International Conference, DS 2010, Canberra, Australia, October 6-8, 2010, Proceedings

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 …

"Think AI" is a rapid-learning book that covers a wide range of Artificial Intelligence topics, including Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. …

SERI-2021 was a success with the presence of our valuable Guest Speakers who lead the discussion in various session in just the right direction showering the audiences with their esteemed valuable kn …

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 …

Virtual and extended reality technologies have come a long way since their inception, and today, they are poised to change how we work, learn, and interact with the world. From gaming and entertainme …

To understand the dynamic patterns of behaviours and interactions between athletes that characterize successful performance in different sports is an important challenge for all sport practitioners. …

This introduction to computers presents the fundamental ideas and principles on which modern computers are built. While used as a text for courses in computer appreciation as well as introductions to …

MLOps, a combination of Dev Ops, data engineering, and machine learning, is crucial for delivering high-quality machine learning results due to the dynamic nature of machine learning data. This book …

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 …

The second edition of "Machine Learning for Beginners" addresses key concepts and subjects in machine learning. The book begins with an introduction to the foundational principles of machin …