Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

This book discusses the implementation of various elementary and advanced approaches in AI to solve real-time decision-making problems in various domains. It covers computational intelligence, automation, data analytics, and case-based reasoning, and is useful for academic scientists, researchers, and students in computer science engineering, electronics and communication engineering, and information technology.

Format: Hardback
Length: 250 pages
Publication date: 08 October 2020
Publisher: Taylor & Francis Ltd

Discusses natural language processing and computer vision Discusses AI approaches in real-time applications
Artificial Intelligence (AI) has become an indispensable tool in today's world, thanks to its integration with machine learning and deep learning algorithms. This comprehensive book delves into the implementation of various elementary and advanced approaches in AI, enabling them to be applied across diverse domains to address real-time decision-making challenges.

The book revolves around the concepts and techniques employed to automate tasks and processes. It explores computational intelligence in the field of clinical and biomedical image detection and diagnosis, highlighting its significance in healthcare. It also delves into the automation of systems through machine learning and deep learning methodologies, emphasizing their applications in various industries. Furthermore, the book discusses data analytics and mining for decision-support applications, shedding light on how AI can be used to analyze large datasets and extract valuable insights. Additionally, it encompasses case-based reasoning, natural language processing, computer vision, and AI approaches in real-time applications, providing a comprehensive overview of the field.

This book is a valuable resource for academic scientists, researchers, and students pursuing careers in computer science engineering, electronics and communication engineering, and information technology. It offers a comprehensive understanding of AI fundamentals and equips readers with the skills necessary to solve real-time AI problems. Through a series of case studies, the book fosters adaptive thinking and enables individuals to develop innovative solutions to complex AI challenges.

With its extensive coverage, detailed explanations, and practical examples, this book is an essential guide for professionals seeking to advance their knowledge and expertise in AI. Whether you are an industrial engineer, biomedical engineer, or management professional, this book will provide you with the tools and insights needed to leverage AI's potential in your respective fields. By the end of this book, readers will have a solid foundation in AI and be well-equipped to navigate the rapidly evolving landscape of this exciting technology.

Weight: 546g
Dimension: 161 x 240 x 21 (mm)
ISBN-13: 9780367417277