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

Artificial  Intelligence and Knowledge Processing play a vital role in various  automation industries and their functioning in converting traditional  industries to AI-based factories. This book acts as a guide and blends  the basics of Artificial Intelligence in various domains, which include  Machine Learning, Deep Learning, Artificial Neural Networks, and Expert  Systems, and extends their application in all sectors. 

Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction,  discusses the designing of new AI algorithms used to convert general  applications to AI-based applications. It highlights different Machine  Learning and Deep Learning models for various applications used in  healthcare and wellness, agriculture, and automobiles. The book offers  an overview of the rapidly growing and developing field of AI  applications, along with Knowledge of Engineering, and Business  Analytics. Real-time case studies are included across several different  fields such as Image Processing, Text Mining, Healthcare, Finance,  Digital Marketing, and HR Analytics. The book also introduces a  statistical background and probabilistic framework to enhance the  understanding of continuous distributions. Topics such as Ensemble  Models, Deep Learning Models, Artificial Neural Networks, Expert  Systems, and Decision-Based Systems round out the offerings of this  book.

This multi-contributed book is  a valuable source for researchers, academics, technologists,  industrialists, practitioners, and all those who wish to explore the  applications of AI, Knowledge Processing, Deep Learning, and Machine  Learning.