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.
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