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Leveling Up Natural Language Processing with Transfer Learning
Leveling Up Natural Language Processing with Transfer Learning
ratings:
Length:
47 minutes
Released:
May 18, 2021
Format:
Podcast episode
Description
Natural language processing is a powerful tool for extracting insights from large volumes of text. With the growth of the internet and social platforms, and the increasing number of people and communities conducting their professional and personal activities online, the opportunities for NLP to create amazing insights and experiences are endless. In order to work with such a large and growing corpus it has become necessary to move beyond purely statistical methods and embrace the capabilities of deep learning, and transfer learning in particular. In this episode Paul Azunre shares his journey into the application and implementation of transfer learning for natural language processing. This is a fascinating look at the possibilities of emerging machine learning techniques for transforming the ways that we interact with technology.
Released:
May 18, 2021
Format:
Podcast episode
Titles in the series (100)
Travis Oliphant by The Python Podcast.__init__