Data Science W266

Natural Language Processing with Deep Learning

3 units

Course Description

Understanding language is fundamental to human interaction. Our brains have evolved language-specific circuitry that helps us learn it very quickly; however, this also means that we have great difficulty explaining how exactly meaning arises from sounds and symbols. This course is a broad introduction to linguistic phenomena and our attempts to analyze them with machine learning. We will cover a wide range of concepts with a focus on practical applications such as information extraction, machine translation, sentiment analysis, and summarization.

Course Designer

Profile profile for dgillick

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Daniel Gillick
Assistant Adjunct Professor

Prerequisites

W207. MIDS students only.

Video

datascience@berkeley | Natural Language Processing with Deep Learning

datascience@berkeley | Natural Language Processing with Deep Learning

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Course History

Spring 2020

Instructor(s): Daniel Cer
Instructor(s): Mike Tamir
Instructor(s): Mark Butler, Matthew Sims
Instructor(s): Mark Butler
Instructor(s): Sid J Reddy
Instructor(s): Matthew Sims
Instructor(s): Matthew Sims

Fall 2019

Instructor(s): Joachim Rahmfeld
Instructor(s): Mark Butler
Instructor(s): Sid J Reddy
Instructor(s): Mike Tamir
Instructor(s): James Kunz
Instructor(s): Daniel Cer

Summer 2019

Instructor(s): Mark Butler
Instructor(s): Sid J Reddy

Last updated:

January 12, 2021