Semi-Supervised Learning [PDF ebook] 

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 …

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 …

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 …

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. …

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 …

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 …

This book explores quantum computing as a transformative technology and its applications in communications, cryptography, teleportation, Io T, AI, and blockchain, in addition to the revolutionary con …

This book discusses the international legal issues underlying Internet Governance and proposes an international solution to its problems. The book encompasses a wide spectrum of current debate surrou …

In the world of industrial manufacturing and supply chain, the lack of real-time visibility and insights into processes poses a significant challenge. However, Io T is set to bring about a profound t …

Not only does almost everyone in the civilized world use a personal computer, smartphone, and/or tablet on a daily basis to communicate with others and access information, but virtually every other m …