Machine Learning and Deep Learning in Real-Time Applications

Mehul Mahrishi

ISBN 10: 1799830950 / ISBN 13: 9781799830955

Published by Engineering Science Reference, 2020

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.

Seller Inventory # 9781799830955

Bibliographic Details

• Title: Machine Learning and Deep Learning in Real-Time Applications
• Publisher: Engineering Science Reference
• Publication Date: 2020
• Language: English
• ISBN 10: 1799830950
• ISBN 13: 9781799830955
• Binding: Buch
• Condition: Neu
• Dimensions: 286W x 221H x 25D millimeters 286 millimeters width by 221 millimeters height by 25 millimeters depth
• Weight: 1194 grams

About this title

Synopsis

Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.