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100 1 Kejriwal, Mayank,|eauthor.
245 10 Executive Briefing :|bAn age of embeddings|h[electronic
resource] /|cKejriwal, Mayank.
250 1st edition.
264 1 |bO'Reilly Media, Inc.,|c2020.
300 1 online resource (1 video file, approximately 45 min.)
336 two-dimensional moving image|btdi|2rdacontent
338 online resource|bcr|2rdacarrier
347 video file
520 Word embeddings first emerged as a revolutionary technique
in natural language processing (NLP) in the last decade,
allowing machines to read large reams of unlabeled text
and automatically answer analogical questions such as,
"What is to man as queen is to woman?" Modern embeddings
leverage advances in deep neural networks to be effective.
Following the success of word embeddings, there have been
massive efforts in both academia and industry to embed all
kinds of data, including images, speech, video, entire
sentences, phrases and documents, structured data, and
even computer programs. These piecemeal approaches are now
starting to converge, drawing on a similar mix of
techniques. Mayank Kejriwal (USC Information Sciences
Institute) explores the ongoing movement that's attempting
to embed every conceivable kind of data, sometimes jointly,
to build ever-more powerful predictive models. Mayank
makes a business case for why you should care about
embeddings and how you can position them as your
organization's secret sauce within a broader AI strategy.
Prerequisite knowledge Experience implementing or
deploying real-world machine learning projects, especially
using neural networks (useful but not required) What
you'll learn Learn what embeddings are and why they're so
useful for predictive analytics Discover how embeddings
can bolster your organization's AI strategy This session
is from the 2019 O'Reilly Artificial Intelligence
Conference in San Jose, CA.
533 Electronic reproduction.|bBoston, MA :|cSafari.|nAvailable
via World Wide Web.
538 Mode of access: World Wide Web.
542 |fCopyright O'Reilly Media, Inc.
550 Made available through: Safari, an O'Reilly Media Company.
588 Online resource; Title from title screen (viewed February
710 2 Safari, an O'Reilly Media Company.
990 ProQuest Safari|bO'Reilly Online Learning: Academic/Public
Library Edition|c2020-10-09|yKB collection name change
990 ProQuest Safari|bO'Reilly Safari Learning Platform:
Academic edition|c2020-08-21|yAdded to collection