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AI and machine learning / Was Rahman.

By: Material type: TextTextPublication details: New Delhi: Sage, 2020.Description: 160 pagesISBN:
  • 9789353884413
Subject(s): DDC classification:
  • 006.3 RAH
Contents:
What artificial intelligence is, isn't and might become -- A long and troubled life story -- How artificial intelligence and machine learning work -- Transforming business and society -- The risks, consequences and dilemmas AI brings -- End of the beginning or beginning of the end?
Summary: "This book is grounded in facts rather than opinions. It illustrates and explains using generally accepted knowledge and the author's personal experience. It refrains as far as possible from offering views other experts would take issue with. The goal is to retain a measured, neutral voice on a topic that doesn't always lend itself to that. The book doesn't tell you how to build AI or ML systems, or advise on what to do about it in your business. Nor does it dig into details that require deep technical or specialist knowledge. It's a concise introduction to a complex subject. So by design, it doesn't explore in depth the intricacies and nuances of the topics. Nor does it elaborate in detail on the "why" and "how" behind what it describes. If you're interested in further detail, there's a comprehensive set of references. They're a mix of academic, general and specialist references to more in-depth coverage of the ideas and information covered"--
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Institute of Management Processing Center Institute of Management 006.3 RAH (Browse shelf(Opens below)) Available IMK16678

Includes bibliographical references.

What artificial intelligence is, isn't and might become -- A long and troubled life story -- How artificial intelligence and machine learning work -- Transforming business and society -- The risks, consequences and dilemmas AI brings -- End of the beginning or beginning of the end?

"This book is grounded in facts rather than opinions. It illustrates and explains using generally accepted knowledge and the author's personal experience. It refrains as far as possible from offering views other experts would take issue with. The goal is to retain a measured, neutral voice on a topic that doesn't always lend itself to that. The book doesn't tell you how to build AI or ML systems, or advise on what to do about it in your business. Nor does it dig into details that require deep technical or specialist knowledge. It's a concise introduction to a complex subject. So by design, it doesn't explore in depth the intricacies and nuances of the topics. Nor does it elaborate in detail on the "why" and "how" behind what it describes. If you're interested in further detail, there's a comprehensive set of references. They're a mix of academic, general and specialist references to more in-depth coverage of the ideas and information covered"--

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