Kategoria BISAC: Mathematics >> Probability & Statistics - General

This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main concepts of the traditional algorithms, and analyzes their advantages and limitations. Then, it addresses the fundamentals of deep learning, focusing on the deep-learning-based technology used, and analyzes problems arising in the theory and practice of recommender systems, helping readers gain a deeper understanding of the cutting-edge technology used in these systems. Lastly, it shares practical experience with Microsoft 's open source project Microsoft Recommenders. Readers...

This new edition presents the essential topics in probability and statistics from a rigorous standpoint. Any discipline involving randomness, including medicine, engineering, and any area of scientific research, must have a way of analyzing or even predicting the outcomes of an experiment. The authors focus on the tools for doing so in a thorough, yet introductory way.  After providing an overview of the basics of probability, the authors cover essential topics such as confidence intervals, hypothesis testing, and linear regression. These subjects are presented in a one semester...

This book explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics. It addresses well-known models such as particle swarm optimization, genetic algorithm, ant colony optimization, evolutionary strategy, population-based incremental learning, and grey wolf optimizer for training neural networks. Additionally, the book examines the challenges associated with these processes in detail. This volume will serve as a valuable reference for individuals in both academia and industry. 

This book includes peer-reviewed papers from the 3rd International Conference on 6G Communications Networking and Signal Processing (SGCNSP) 2025. It provides a comprehensive overview of the emerging field of 6G communications, covering key networking concepts, signal processing techniques, and future applications. The book introduces the evolution of cellular networks and the fundamental features of 6G, highlighting the challenges and opportunities in its development. It serves as a valuable reference for academics, engineers, and industry professionals seeking to understand the latest...

This book offers a comprehensive exploration of the integration of Big Data analytics into the management of energy pipeline integrity. Its primary aim is to enhance pipeline safety, reduce operational costs, and ensure long-term sustainability by leveraging data-driven technologies in the monitoring and maintenance of pipelines. Aimed at professionals and researchers in the energy, oil, and gas sectors, as well as those involved in infrastructure management and data science, the book presents how emerging technologies, such as Big Data, Machine Learning (ML), Internet of Things (IoT), and...

This book provides a platform for interdisciplinary discussions on leveraging emerging technologies and analytics to empower humanity, fostering collaboration between experts in AI and analytics, sustainability, different areas of management, and IT. As the world grapples with complex challenges, from climate change to economic inequality, this second volume of a two-volume proceedings series is a crucial resource for fostering collaboration and exploring untapped potential of emerging technologies. By harnessing the power of AI, blockchain, IoT, and big data, the chapters address critical...