This volume provides readers with a compact, stimulating and multifaceted introduction to interpretability, a key issue for developing insightful statistical and machine learning approaches as well as for communicating modelling results in business and industry. Different views …
Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This lea…
"Today, raw data on any industry is widely available. With the help of artificial intelligence and machine learning, this data can be used to gain meaningful insights. In addition, as data is the new raw material for today's world, artificial intelligence and machine learning wi…
"Today, raw data on any industry is widely available. With the help of artificial intelligence and machine learning, this data can be used to gain meaningful insights. In addition, as data is the new raw material for today's world, artificial intelligence and machine learning wi…
"Artificial Intelligence and Cybersecurity are two emerging fields that have phenomenal contribution towards technological advancement. As cyber-attacks increase, there is a need to identify threats and thwart attacks. This book will incorporate the recent developments that arti…
"Artificial Intelligence and Cybersecurity are two emerging fields that have phenomenal contribution towards technological advancement. As cyber-attacks increase, there is a need to identify threats and thwart attacks. This book will incorporate the recent developments that arti…
"Artificial Intelligence and Cybersecurity are two emerging fields that have phenomenal contribution towards technological advancement. As cyber-attacks increase, there is a need to identify threats and thwart attacks. This book will incorporate the recent developments that arti…
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 intelligence (AI) applications, including computer vision, speech recognition, and …
"This book is designed as a reference book and presents a systematic approach to analyze evolutionary and nature-inspired population-based search algorithms. Beginning with an introduction to optimization methods and algorithms and various enzymes, the book then moves on to prov…
"This book is designed as a reference book and presents a systematic approach to analyze evolutionary and nature-inspired population-based search algorithms. Beginning with an introduction to optimization methods and algorithms and various enzymes, the book then moves on to prov…
"This book brings together all the latest methodologies, tools and techniques related to the Internet of Things and Artificial Intelligence in a single volume to build insight into their use in the sustainable living. The applications include areas such as agriculture, smart far…
