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Getting your data ready for AI : governing principles for fast self-service data preparation / Kate Shoup.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Shoup, Kate, 1972- author.
Language:
English
Subjects (All):
Artificial intelligence--Data processing.
Artificial intelligence.
Artificial intelligence--Industrial applications.
Electronic data processing--Distributed processing.
Electronic data processing.
Physical Description:
1 online resource (1 volume) : illustrations
Edition:
First edition.
Other Title:
Getting your data ready for artificial intelligence
Place of Publication:
Sebastopol, CA : O'Reilly Media, [2018]
System Details:
text file
Summary:
Despite the enthusiasm for AI, a recent survey reveals that few organizations have adopted this technology in any meaningful way. One reason is the tedious process of accessing, labeling, and transforming data—known as data wrangling—that consumes 80% of a data scientist’s time. There’s a better way to model data. This practical ebook explores a new crop of self-service data preparation tools and services, including IBM Watson Studio, for automating data wrangling. Featuring interviews with data analytics experts, including Alex Castrounis (InnoArchiTech), Jay Limburn (IBM), and Katharine Jarmul ( Data Wrangling with Python ) among others, this ebook examines key barriers to capturing value from AI processes, including problems with data access and preparation. Author Kate Shoup shows data scientists and analysts how Watson Studio and other self-service tools enable domain experts, developers, and business analysts to practice data science. Get an overview of data science and learn how it differs from data analysis Examine a typical AI workflow, including challenges that surface at each step of the data wrangling process Learn solutions to AI workflow challenges, including the use of data catalogs to help you access and prep data Dive into Watson Studio and learn how the platform combines data catalogs with support for data science tools in one environment Evaluate a Watson Studio example and explore real-world use cases
Notes:
Description based on online resource; title from cover (Safari, viewed November 5, 2019).
Includes bibliographical references.
ISBN:
9781492042419
1492042412
9781492042426
1492042420
OCLC:
1126570300

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