AI Revealed: Theory, Applications, Ethics

AI Revealed: Theory • Applications • Ethics (MLI Generative AI Series)

AI Revealed: Theory • Applications • Ethics (MLI Generative AI Series)

Author: by Erik L. Herman (Author)

Publisher finelybook 出版社:‏ Mercury Learning and Information‎

Edition 版次:‏ ‎ N/A

Publication Date 出版日期:‏ ‎ 2024-11-13

Language 语言: ‎ English

Print Length 页数: ‎ 184 pages

ISBN-10: ‎ 1501523333

ISBN-13: ‎ 9781501523335


Book Description
By finelybook

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 cutting-edge 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.

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.

About the Author

Erik L. 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.

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