The power of the tensor in NLP : using unlabeled data and learning from context

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The power of the tensor in NLP using unlabeled data and learning from context

Text Representation: How We Model Language as Tensors" with Chris Mattmann, Deputy CTO at NASA JPL, and Dr. Scott Penberthy, Director of Applied AI at Google, hosted by Dale Markowitz, Applied AI Engineer at Google.

Bibliographic Details
Corporate Author:	Manning Publications Co., publisher (publisher)
Other Authors:	Markowitz, Dale, host (host), Mattmann, Chris A., presenter (presenter), Penberthy, Scott, presenter
Format:	Video
Language:	Inglés
Published:	[Shelter Island, New York] : Manning Publications 2020.
Edition:	[First edition]
Subjects:	Natural language processing (Computer science) Machine learning. Artificial intelligence.
See on Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822995206719

Description
Summary:	Text Representation: How We Model Language as Tensors" with Chris Mattmann, Deputy CTO at NASA JPL, and Dr. Scott Penberthy, Director of Applied AI at Google, hosted by Dale Markowitz, Applied AI Engineer at Google.
Physical Description:	1 online resource (1 video file (50 min.)) : sound, color