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Can I read Artificial Intelligence All-in-One For Dummies® on EtoBox?

Artificial Intelligence All-in-One For Dummies® by Chris Minnick, John Paul Mueller, Luca Massaron, Stephanie Diamond, Pam Baker, Daniel Stanton, Shiv Singh, Paul Mladjenovic, Sheryl Lindsell-Roberts, Jeffrey Allan is a nonfiction available to read on EtoBox.

What is Artificial Intelligence All-in-One For Dummies® about?

A comprehensive roadmap to using AI in your career and in your lifeArtificial intelligence is everywhere. Major software organizations like Microsoft, Google, and Apple have built AI directly into products and invited the world to become part of the AI revolution. And it's impossible to use these tools to their fullest potential without understanding the basics of what AI is and what it can do.Artificial Intelligence All-in-One For Dummies compiles insight from the expert authors of AI books in the For Dummies series to provide an easy-to-follow walkthrough for anyone interested in learning how to use AI. You'll learn how to put artificial intelligence to work for you and your company in a wide variety of situations, from creating office assistants to managing projects and marketing your products.Inside the book: How to prompt AI platforms like ChatGPT and Copilot while avoiding “hallucinations” and other bugs Strategies for adding artificial intelligence tools to your company's existing workflows to improve efficiency and generate new opportunities Techniques to improve your programming capabilities with AI or create new AI-powered toolsPerfect for professionals curious a

Who reads Artificial Intelligence All-in-One For Dummies®?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Chris Minnick, John Paul Mueller, Luca Massaron, Stephanie Diamond, Pam Baker, Daniel Stanton, Shiv Singh, Paul Mladjenovic, Sheryl Lindsell-Roberts, Jeffrey Allan
Publisher
John Wiley & Sons, Incorporated
Published
2025
Language
EN
ISBN
9781394341726
Category
nonfiction
Subjects
Computer Science, Stem

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