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.

Detalles Bibliográficos
Autor Corporativo:	Manning Publications Co., publisher (publisher)
Otros Autores:	Markowitz, Dale, host (host), Mattmann, Chris A., presenter (presenter), Penberthy, Scott, presenter
Formato:	Video
Idioma:	Inglés
Publicado:	[Shelter Island, New York] : Manning Publications 2020.
Edición:	[First edition]
Materias:	Natural language processing (Computer science) Machine learning. Artificial intelligence.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822995206719

Descripción
Sumario:	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.
Descripción Física:	1 online resource (1 video file (50 min.)) : sound, color