Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches
Nguyen Thi Dieu Linh editor Mamata Rath editor K Gayathri Devi editor
Format:Hardback
Publisher:Taylor & Francis Ltd
Published:8th Oct '20
Currently unavailable, and unfortunately no date known when it will be back
This hardback is available in another edition too:
- Paperback£49.99(9780367549015)
Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems.
The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images, covers the automation of a system through machine learning and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural language processing, computer vision, and AI approaches in real-time applications.
Academic scientists, researchers, and students in the various domains of computer science engineering, electronics and communication engineering, and information technology, as well as industrial engineers, biomedical engineers, and management, will find this book useful. By the end of this book, you will understand the fundamentals of AI. Various case studies will develop your adaptive thinking to solve real-time AI problems.
Features
- Includes AI-based decision-making approaches
- Discusses computational intelligence in the detection and diagnosis of clinical and biomedical images
- Covers automation of systems through machine learning and deep learning approaches and its implications to the real world
- Presents data analytics and mining for decision-support applications
- Offers case-based reasoning <
ISBN: 9780367417277
Dimensions: unknown
Weight: 517g
250 pages