UMass Boston

Integrated Sciences Complex at night view from the water.
An Introduction to Statistical Machine Learning

Course Overview

Date / Time Location Credits Minimium Tuition*
9/3/24 - 12/13/24
TuTh 4p.m. – 5:15p.m.		 University Hall Y04-4100 3 $1984 (guest students)
Date
9/3/24 - 12/13/24
Time
TuTh 4p.m. – 5:15p.m.
Location
University Hall Y04-4100
Credits
3
Min. Tuition*
$1984 (guest students)

Description

This course will provide an introduction to methods in statistical machine learning that are commonly used to extract important patterns and information from data. Topics include: supervised and unsupervised learning algorithms such as generalized linear models for regression and classification, support vector machines, random forests, k-means clustering, principal component analysis, and the basics of neural networks. Model selection, cross-validation, regularization, and statistical model assessment will also be discussed. The topics and their applications will be illustrated using the statistical programming language R in a practical, example/project oriented manner.

Prerequisites

MATH 345 and MATH 260 and CS 110 or permission of instructor

This course is closed for registration.

Return to Course List

Course Details

Session

Regular Academic Session

Class Dates

9/3/2024 - 12/13/2024

Location

University Hall Y04-4100

Enrolled / Capacity

8 / 30

Status

Closed

Tuition*

$1984 (guest students)

* The tuition estimate is based on minimum, single-course cost to a new student who is a Massachusetts resident and not enrolled in a multi-course program. State residency, online/in person modality, and matriculation to a degree program may affect cost.

Tuition Details