Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of TinyML, enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge IoT nodes. It is a guide to designing, opt...Loe edasi...
This book provides a comprehensive discussion of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, deep learning methods for medical image analysis, and deep learnin...Loe edasi...
As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming...Loe edasi...
Bridges gap between modern machine learning methods and applied needs of economists, public health researchers, social scientists. Designed with students and practitioners in mind, introduces machine learning through causal inference. Offers a rigor...Loe edasi...
The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and ana...Loe edasi...
This book explores the latest advancements in machine learning techniques and their transformative applications in the healthcare domain. It delves into the use of machine learning for disease diagnosis and prognosis, showcasing its potential to ena...Loe edasi...
This book is designed to cater to readers who prefer a hands-on guide using SPSS Modeler, a widely popular software that does not require coding or programming skills. It targets a broad audience, including students, lecturers, researchers, and indu...Loe edasi...
Advancements in AI and Computer Vision are revolutionizing medical diagnostics by enabling real-time analysis of vast data. This book focuses on ML algorithms that analyze medical data and predict diseases based on key features....Loe edasi...
This book delves into the evolving field of computational intelligence, highlighting its intersection with computer science, AI, and machine learning. It covers recent advancements, theoretical foundations, and practical applications, emphasizing th...Loe edasi...
In this work from leading figures in the field, Lee, Lee, and Lin describe methods of integrated sensing and communication (ISAC) and artificial intelligence-aided radio systems to provide improved efficiency and performance to wireless users using...Loe edasi...
This book presents the use of Machine Learning and Artificial Intelligence in advanced and new manufacturing processes including core concepts and techniques of machine learning. It covers recent developments and research breakthroughs of tribologic...Loe edasi...
Users expect proper explanation and interpretability of all the decisions being taken by machine and deep learning (ML/DL) algorithms. This book covers key requirements for interpretability and trustworthiness of AI models and how these needs can be...Loe edasi...
This book presents a groundbreaking aspect of fundamental plasma chemistry that integrates modern machine learning and neuromorphic systems. This is the first book to introduce such a unique theory....Loe edasi...
Data-Driven Fault Diagnosis delves into the application of machine learning techniques for achieving robust and efficient fault diagnosis in industrial components....Loe edasi...
Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning and cloud computing combine to drive data-driven decision-making across industries....Loe edasi...
This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies. It delves deeply into how machine learning models, particularly deep neural networks, achieve robus...Loe edasi...
This book demystifies deep learning and AI, making complex concepts accessible to all readers. It blends theory with practical guidance, covering neural networks, real-world applications, and ethical considerations. With insights on GANs and reinfor...Loe edasi...
This book starts with discussions over how large language models are used in healthcare and the opportunities we have to change portions of the healthcare paradigm. There are amazing opportunities to save both time as a business unit as well as impr...Loe edasi...
This book aims to develop structural design and optimization methods of lifting self-forming Glass fiber reinforced polymer (GFRP) elastic gridshells based on machine learning (ML)....Loe edasi...
Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of Technology Computer Aided Design (TCAD). It provides the various algorithms of machine learning such as regression, decisio...Loe edasi...
