Artificial Intelligence and Machine Learning in Business Management: Concepts, Challenges, and Case Studies
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- Дата: 7-11-2021, 14:02
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Автор: Sandeep K. Panda, Vaibhav Mishra, R. Balamurali
Издательство: CRC Press
Год: 2022
Страниц: 279
Язык: английский
Формат: pdf (true)
Размер: 29.4 MB
The focus of this book is to introduce Artificial Intelligence (AI) and Machine Learning (ML) technologies into the context of Business Management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers.
With the maturing use of AI or ML in the field of business intelligence, this book examines several projects with innovative uses of AI beyond data organization and access. It follows the Predictive Modeling Toolkit for providing new insight on how to use improved AI tools in the field of business. It explores cultural heritage values and risk assessments for mitigation and conservation and discusses on-shore and off-shore technological capabilities with spatial tools for addressing marketing and retail strategies, insurance and healthcare systems.
ML is a field of study that gives computers an ability to learn without being explicitly programmed, whereas data science deals with extracting knowledge from data. Deep Learning is a big artificial neural network which mimics the network of neurons in a human brain. It is a subset of ML and is called “deep learning” because it uses deep neural networks for learning. The machine uses different layers to learn from the data and the depth of the model is represented by the number of layers in the model. Deep Learning (DL) is a new term used within the world of AI.
Taking a multidisciplinary approach for using AI, this book provides a single comprehensive reference resource for undergraduate, graduate, business professionals, and related disciplines.
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