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Implementing AI systemstransform you...

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Implementing AI systemstransform your business in 6 steps /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Implementing AI systemsby Tom Taulli.
Reminder of title:	transform your business in 6 steps /
Author:	Taulli, Tom.
Published:	Berkeley, CA :Apress :2021.
Description:	xi, 196 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence.
Online resource:	https://doi.org/10.1007/978-1-4842-6385-3
ISBN:	9781484263853$q(electronic bk.)

Implementing AI systemstransform your business in 6 steps /
Taulli, Tom.

Implementing AI systemstransform your business in 6 steps /[electronic resource] :by Tom Taulli. - Berkeley, CA :Apress :2021. - xi, 196 p. :ill., digital ;24 cm.

Chapter 1: AI Landscape -- Chapter 2: AI Foundations -- Chapter 3: Identify the Problem to be Solved -- Chapter 4: The Team -- Chapter 5: Data Preparation -- Chapter 6: Creating the Model -- Chapter 7: Deployment and Monitoring -- Chapter 8: Responsible AI -- Chapter 9: The Future of AI -- Glossary.

AI is one of the fastest growing corners of the tech world. But there remains one big problem: many AI projects fail. The fact is that AI is unique among IT projects. The technology requires a different mindset, in terms of understanding probabilities, data structures and complex algorithms. There is also a need to deal with complex issues like ethics and privacy. This is where Implementing AI Systems comes in. You'll learn the step-by-step process for successful implementations of AI, backed up with numerous case studies from top companies. This book puts everything you need to know into one place - that is, it's the handbook you need for AI. You'll focus primarily on understanding the core concepts for AI like NLP, Machine Learning, Deep Learning and so on. This book will help you find the right areas to apply AI. You will: Put together an effective data strategy Create models and how to successfully test them Evaluate AI tools Assemble the right team Scale AI across an organization.

ISBN: 9781484263853$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-6385-3doiSubjects--Topical Terms:

194058
Artificial intelligence.

LC Class. No.: Q335

Dewey Class. No.: 006.3

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505 0 $a Chapter 1: AI Landscape -- Chapter 2: AI Foundations -- Chapter 3: Identify the Problem to be Solved -- Chapter 4: The Team -- Chapter 5: Data Preparation -- Chapter 6: Creating the Model -- Chapter 7: Deployment and Monitoring -- Chapter 8: Responsible AI -- Chapter 9: The Future of AI -- Glossary.
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