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Learn the fundamentals of Natural Language Processing (NLP) through a comprehensive lecture that covers the historical development of NLP, its core concepts, and distinguishes it from traditional machine learning approaches. Explore the standard NLP pipeline while gaining insights into various class topics and methodologies used in modern language processing. Understand how NLP has evolved from simple rule-based systems to sophisticated language models, with detailed explanations of key concepts and practical applications in data science.
Syllabus
Intro to the instructor & TAs
What's NLP & history
Class topics
On "standard" NLP pipeline
NLP != ML
Class logistics
Taught by
UofU Data Science