Data Science 266

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

Daniel Gillick
Former Assistant Adjunct Professor

Previously listed as DATASCI W266.

Prerequisites

207. MIDS students only.

Requirements Satisfied

Applied Data Science Certificate — Elective

Video

datascience@berkeley | Natural Language Processing with Deep Learning

datascience@berkeley | Natural Language Processing with Deep Learning

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Course History

Fall 2023

Instructor(s): Paul Spiegelhalter, Mike Tamir
Instructor(s): Mark Butler
Instructor(s): Mark Butler
Instructor(s): Jennifer Zhu
Instructor(s): Jennifer Zhu
Instructor(s): Peter Grabowski
Instructor(s): Natalie Ahn

Summer 2023

Instructor(s): Jennifer Zhu
Instructor(s): Peter Grabowski
Instructor(s): Jennifer Zhu
Instructor(s): Natalie Ahn
Instructor(s): Mike Tamir, Paul Spiegelhalter
Instructor(s): Mark Butler

Spring 2023

Instructor(s): Jennifer Zhu
Instructor(s): Peter Grabowski

Last updated:

October 6, 2022