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Artificial Intelligence Basics for Beginners

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Artificial Intelligence Basics - A Non-Technical Introduction | Tom Taulli | Apress

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JavaScript is currently disabled, this site works much better if you enable JavaScript in your browser. Free Preview. Study how you can implement AI in your organization by putting together a strategy and setting realistic objectives Contextualize case studies from companies who are leveraging AI to transform their businesses Learn how to deal with some of the inherent risks like bias, data quality and employee resistance Review valuable frameworks, tools, and languages such as Python, TensorFlow, and PyTorch see more benefits.

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Pre-order Softcover. FAQ Policy. About this book Artificial intelligence touches nearly every part of your day.


  • The Jacobson Radical of Group Algebras?
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  • What You Will Learn 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 and improve customer service Avoid costly gotchas Recognize ethical concerns and other risk factors of using artificial intelligence Examine the secular trends and how they may impact your business Who This Book Is For Readers without a technical background, such as managers, looking to understand AI to evaluate solutions.

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    Machine Learning Pages Taulli, Tom. Deep Learning Pages Taulli, Tom. Physical Robots Pages Taulli, Tom.

    Artificial Intelligence Tutorial - AI Tutorial for Beginners - Artificial Intelligence - Simplilearn

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