AI Revealed

This book is a guide to navigating the ever-changing landscape of artificial intelligence. It is designed for both
novices and seasoned professionals, covering a wide range of topics from fundamental concepts to cuttingedge
advancements. Readers will investigate the principles of machine learning, explore the intricacies of
deep learning architectures, and discover the applications of natural language processing and computer vision.
Through concise explanations and practical examples, readers will gain the knowledge and skills necessary to
confidently navigate the dynamic field of artificial intelligence. Additionally, the text examines real-world case
studies and addresses important ethical issues, providing valuable insights into the ethical implications and
societal impacts of technology.

TABLE OF CONTENTS
1: Introduction to Artificial Intelligence. 2: Foundations of Machine Learning. 3: Deep Learning and
Neural Networks. 4: Natural Language Processing (NLP). 5: Computer Vision. 6: Ethics and Bias in AI.
7: AI in Practice Industry Case Studies. 8: Future of AI and Emerging Technologies. 9: Getting Started
with AI Development. Appendix A: Overview of the Lisp Programming Language. Appendix B:
Resources and Community. Index.
ABOUT THE AUTHOR
Erik Herman is a Technical Trainer, Instructional Designer, and Content Developer with expertise
spanning technical training, e-learning, and content development across diverse domains such as cloud
computing, data analytics, and fraud detection.