Master’s in Data Science for MIT MicroMaster's Graduates
Course Descriptions and Schedule
Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
MSDS 453-DL : Natural Language Processing
Description
This course reviews natural language processing with a focus on
recent developments in computational linguistics and machine
learning. Students work with unstructured and semi-structured text
from online sources, document collections, and databases. Students
learn how to parse text into numeric vectors and to convert higher
dimensional vectors into lower dimensional vectors for subsequent
analysis and modeling. Applications include speech recognition,
semantic processing, text classification, search, recommendation
systems, sentiment analysis, and topic modeling. This is a
project-based course with extensive programming assignments.
This is a required course for the Artificial Intelligence
specialization.
Prerequisites:(1) MSDS 420-DL Database Systems or CIS 417
Database Systems Design and Implementation and (2) MSDS 422-DL
Practical Machine Learning or CIS 435 Practical Data Science Using
Machine Learning.
