Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction

This book discusses the role of Artificial Intelligence and Knowledge Processing in converting traditional industries to AI-based factories. It covers various AI domains like Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems and their applications in healthcare, agriculture, and automobiles. It also includes real-time case studies and introduces a statistical background and probabilistic framework. The book is a valuable resource for researchers, academics, practitioners, and industry professionals interested in exploring AI and its applications.

Format: Hardback
Length: 368 pages
Publication date: 29 September 2023
Publisher: Taylor & Francis Ltd

Artificial Intelligence (AI) and Knowledge Processing play a crucial role in the automation industries, facilitating the transition of traditional industries into AI-based factories. This comprehensive book serves as a guide, seamlessly blending the fundamentals of Artificial Intelligence across various domains, including Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems. By extending their applications across various sectors, it empowers readers to harness the power of AI for improved decision-making and predictive capabilities.

In the chapter titled "Improved Decision-Making and Prediction," the book delves into the design of novel AI algorithms that transform general applications into AI-based solutions. It highlights diverse Machine Learning and Deep Learning models employed in healthcare and wellness, agriculture, and automobiles. The book provides an insightful overview of the rapidly expanding field of AI applications, coupled with knowledge of Engineering and Business Analytics. Real-time case studies spanning various domains, such as Image Processing, Text Mining, Healthcare, Finance, Digital Marketing, and HR Analytics, are included to illustrate the practical applications of AI techniques.

To enhance the understanding of continuous distributions, the book introduces a statistical background and probabilistic framework. Topics such as Ensemble Models, Deep Learning Models, Artificial Neural Networks, Expert Systems, and Decision-Based Systems round out the book's offerings, providing a comprehensive and up-to-date perspective on the applications of AI, Knowledge Processing, Deep Learning, and Machine Learning.

This multi-contributor book is a valuable resource for researchers, academics, technologists, industrialists, practitioners, and anyone interested in exploring the vast applications of AI, Knowledge Processing, Deep Learning, and Machine Learning. Its comprehensive coverage and practical insights make it an essential guide for professionals seeking to stay at the forefront of this rapidly evolving field.

Weight: 870g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032354163