AI Revealed: Theory, Applications and Ethics

by Herman Erik

Overview

This book is a guide to navigating the evolving landscape of artificial intelligence. Designed for both novices and seasoned professionals it covers a broad range of topics from fundamental ideas to innovative 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. With its concise explanations and useful examples, it gives readers the knowledge and abilities they need to confidently traverse the changing field of artificial intelligence. This text also looks at real-world case studies and important ethical issues, providing insightful information about the ethical ramifications and societal effects of technology.

Features:

• Practical applications and case studies with a section on use cases across various industries, including healthcare, finance, transportation, and retail.
• Actionable steps for getting started with AI include how to set up an AI development environment, learning Python for AI applications, and utilizing popular AI libraries.
• Resources for further study including, AI online courses, AI communities and forums, and recommended books essentially, a roadmap for continuous learning.

Product Details

ISBN-13:	9781501523335
Publisher:	De Gruyter
Publication date:	11/27/2024
Series:	MLI Generative AI Series
Pages:	194
Product dimensions:	6.00(w) x 9.00(h) x 0.40(d)

About the Author

Erik L. Herman is an accomplished 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. Holding certifications from CompTIA, Confluent, IBM, and AWS, Erik consistently delivers high-quality training utilizing tools like Articulate, Camtasia, and Captivate. In his current capacity at PIL, LLC., Erik provides customized training solutions and adeptly manages client engagements. With a strong background at QueBIT Consulting and The Ironside Group, Erik demonstrates proficiency in overseeing technical training practices and crafting comprehensive learning materials.

Erik earned a Bachelor of Arts in English from George Mason University in 1995. As a dedicated instructor, Erik adeptly conveys intricate technical concepts while staying abreast of evolving technology trends, ensuring his students receive top-tier education and training.

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