Artificial intelligence : what you need to know about machine learning, robotics, deep learning, recommender systems, internet of things, neural networks, reinforcement learning, and our future.

By:

Wilkins,Neil [Author]

Contributor(s):

Machine learning

Material type: Text

TextPublication details: [Place of publication not identified] [publisher not identified], [2019]Description: 98pISBN:

9781647481698

Subject(s):

Artificial intelligence

DDC classification:

006.3 WIL

Online resources:

Click here to access online

Summary: "We live in an interesting time with technological advances happening every day behind the scenes in universities and technology companies all across the globe. This book is designed to teach you the absolute basics of artificial intelligence (AI) and how it is used today. It has been written assuming that the reader has zero experience in the field of AI, computer science, or math. As such, many of the concepts are easy to follow and understand."

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Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Lending Books	Main Library Stacks	Reference	006.3 WIL (Browse shelf(Opens below))	Available		016070

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Previous	006.3 SCH Artificial neural networks /	006.3 SZT Computational intelligence in business analytics :	006.3 VAN Understanding expert systems	006.3 WIL Artificial intelligence : what you need to know about machine learning, robotics, deep learning, recommender systems, internet of things, neural networks, reinforcement learning, and our future.	006.31 PAT Deep Learning: A Practitioner's Approach	006.33 EXP Expert System Applications	006.33 NAY Build Your Own Expert System: For the IBM PC and Compatibles	Next

"We live in an interesting time with technological advances happening every day behind the scenes in universities and technology companies all across the globe. This book is designed to teach you the absolute basics of artificial intelligence (AI) and how it is used today. It has been written assuming that the reader has zero experience in the field of AI, computer science, or math. As such, many of the concepts are easy to follow and understand."

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