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In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle.
This book is written for researchers and postgraduates who are interested in developing high-accurate energy demand forecasting models that outperform traditional models by hybridizing intelligent technologies.
Addressing the effect of big data analytics-capable information systems on organizational ambidexterity, this book... Læs mere
This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data... Læs mere
This book provides a detailed analysis of the economic and political implications of the introduction of Artificial Intelligence and Robotics into the service sector of economies that have so far relied on service jobs to sustain levels of employment.
This book discusses and compares several new trends that can be used to overcome Moore’s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing.
This book provides a thorough overview of cutting-edge research on electronics applications relevant to industry, the environment, and society at large.
This book discusses various aspects of cloud computing, in which trust and fault-tolerance models are included in a multilayered, cloud architecture.