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Data Science

Course Descriptions and Schedule

MSDS 453-DL : Natural Language Processing


Description

A comprehensive review of text analytics and 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. Using methods of artificial intelligence and machine learning, 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, relevant 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 and Data Preparation 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.


Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/25/19Optional Sync Tu
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Maren, Alianna
Online
Open

Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/25/19Optional Sync W
7 – 9:30 p.m. 56
InstructorCourse LocationStatusCAESAR Course ID
Miller, Thomas
Online
Open

Spring 2019
Start/End DatesDay(s)TimeBuildingSection
04/01/19 - 06/09/19Optional Sync Tu
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Maren, Alianna
Online
Open

Spring 2019
Start/End DatesDay(s)TimeBuildingSection
04/01/19 - 06/09/19Optional Sync W
7 – 9:30 p.m. 56
InstructorCourse LocationStatusCAESAR Course ID
Miller, Thomas
Online
Open
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