Implementing AI systems : transform your business in 6 steps / Tom Taulli.
2021
Q335
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Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Implementing AI systems : transform your business in 6 steps / Tom Taulli.
Author
Taulli, Tom, 1968- author.
ISBN
9781484263853 (electronic bk.)
1484263855 (electronic bk.)
9781484263860 (print)
1484263863
1484263847
9781484263846
1484263855 (electronic bk.)
9781484263860 (print)
1484263863
1484263847
9781484263846
Published
[Berkeley] : Apress, [2021]
Language
English
Description
1 online resource
Other Standard Identifiers
10.1007/978-1-4842-6385-3 doi
Call Number
Q335
Dewey Decimal Classification
006.3
Summary
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.
Note
Includes index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 25, 2021).
Available in Other Form
Print version: 9781484263846
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Online Access
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Table of Contents
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.
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.