Søgning på underkategorier- og emner:
This book provides a detailed description of machine learning algorithms in Data Analytics, Data Science Lifecycle, Python for Machine... Læs mere
This book investigates the fundaments, standards, and protocols of Cyber-Physical Systems (CPS) in the Industrial Transformation environment. It facilitates a fusion of both technologies in the creation of reliable and robust applications.
This handbook provides a comprehensive collection of knowledge for emerging multidisciplinary research areas such as cybersecurity, IoT, Blockchain, Machine Learning, Data Science, and AI. This book brings together in one resource Information security across multiple domains.
This book demonstrates the core concepts of deep learning algorithms that, using diagrams, data tables, and examples, are especially useful for deep learning based human cancer diagnostics.
Searching for a needle in a haystack is an important task in several contexts of data analysis and decision-making.... Læs mere
This book includes various topics related to marketing and business analytics. It is written to help organizations increase their profits by... Læs mere
This book provides a roadmap for Semantic Web Technologies (SWTs) and highlights their role in wide range of domains including Cloud Computing, IoT,... Læs mere
Logical competence is an ability to draw logically correct conclusions. It has its own historical forms and develops from elementary methods of logical reasoning to modern artificial intelligence systems.
The book emphasizes the challenges, architectural models, intelligent frameworks with smart decision- making systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications.
The main aim of Healthcare 4.0: Health Informatics and Precision Data Management is to improve the services given by the healthcare industry and to bring meaningful patient outcomes, Informatics involved by applying the data, information and knowledge in the healthcare domain.
Details topics related to big data customer analytics and its application for customer retention. Covers topics on the use of big data in... Læs mere