Covers foundations and applications of natural language processing. Problem sets and class projects leverage common and emerging text-based data sources relevant to environmental problems, including but not limited to social media feeds (e.g., twitter) and text documents (e.g., agency reports), and builds capacity and experience in common tools, including text processing and classification, semantics, and natural language parsing.

No Prerequisites

2

Units

Letter

Grading

1, 2, 3

Passtime

Graduate students only

Level Limit

Environmental science

College
These majors only eds
ROBBINS M J
No info found
Spring 2024 . Robbins M J
NCEAS0100
M
12:00 PM - 13:15 PM
See All
EDS 231 Robbins M J Spring 2024 Total: 30
EDS 231 Robbins M J Spring 2023 Total: 31
EDS 213
0 / 27 Enrolled
Databases and Data Management
Janee G A, Curty R G, Brun J
M W
09:30 AM - 10:45 AM
EDS 232
0 / 28 Enrolled
Machine Learning in Environmental Science
Galaz-Garcia
T R
09:30 AM - 10:45 AM
EDS 296
0 / 28 Enrolled
Advanced Special Topics in Environmental Data Science
Shanny-Csik
F
10:00 AM - 16:00 PM
EDS 411B
0 / 28 Enrolled
Capstone Project
Galaz-Garcia
M
12:30 PM - 15:30 PM