Industry Survey Analysis: The Industry Landscape of Natural Language Use Cases in 2020
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Explore the evolving landscape of natural language processing (NLP) in this 54-minute conference talk by computer scientist Paco Nathan from Derwen, Inc. Gain insights from a recent industry survey examining firms with natural language systems in production. Discover the dramatic shifts in NLP since 2018, driven by breakthroughs in deep learning and improved hardware. Learn about advancements across various NLP subcategories, including parsing, natural language understanding, sentiment detection, entity linking, speech recognition, and abstractive summarization. Understand how these technological advances are being adopted by mainstream businesses and their practical applications. Analyze the survey results to grasp both the changing landscape and the industry adoption trends in NLP, providing a comprehensive overview of the natural language use cases in 2020.
Syllabus
Industry Survey Analysis: The industry Landscape of Natural Language Use Cases in 2020
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent