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ARTIFICIAL INTELLIGENCE BASICS: NONTECHNICAL INTRODCTN

Information Technology

Computing & Information Technology

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

<P>Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. The author provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, he uses his expertise to expand on the bigger questions that surround AI. These include societal trends, ethics, and future impact AI will have on world governments, company structures, and daily life. Google, Amazon, Facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. AI is the present and the future of your business as well as home. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and this book is an indispensable guide. Study the core principles for AI approaches such as machine learning, deep learning, and NLP (Natural Language Processing). Discover the best practices to successfully implement AI by examining case studies including Uber, Facebook, Waymo, UiPath, and Stitch Fix. Understand how AI capabilities for robots can improve business. Deploy chatbots and Robotic Processing Automation (RPA) to save costs, improve customer service, and avoid costly gotchas. Recognize ethical concerns and other risk factors of using artificial intelligence.</P>

Artificial Intelligence Basics

COLFR

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Title Page.
Copyright Page.
Contents.
About the Author.
Foreword.
Introduction.
1: AI Foundations.
2: Data.
3: Machine Learning.
4: Deep Learning.
5: Robotic Process Automation (RPA).
6: Natural Language Processing (NLP).
7: Physical Robots.
8: Implementation of AI.
9: The Future of AI.
Appendix: AI Resources.
Glossary.
Index.

Artificial Intelligence Basics.css-1p8rvzy{position:absolute;padding-left:8px;}

Artificial Intelligence Basics