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STAT 416

Introduction to Machine Learning
4.0 credits

Course Description

Provides practical introduction to machine learning. Modules include regression, classification, clustering, retrieval, recommender systems, and deep learning, with a focus on an intuitive understanding grounded in real-world applications. Intelligent applications are designed and used to make predictions on large, complex datasets. Course overlaps with: CEE 415; E E 345; CSS 486; TCSS 435; and TCSS 455. Prerequisite: either CSE 123, CSE 143, CSE 160, or CSE 163; and either STAT 311, STAT 390, STAT 391, IND E 315, MATH 394/STAT 394, STAT 395/MATH 395, or Q SCI 381. Offered: jointly with CSE 416.

Current Time Schedule

Summer, 2025

SLN/Section Time Location Instructor
13486 A
Open

M W 3:00PM - 4:50PM

PCAR 291

Anne Wagner

COURSE OFFERED BY STAT --- PLEASE SUBSCRIBE TO UW NOTIFY IF YOU WOULD LIKE TO GET SEAT ALERTS FROM THE UNIVERSITY. PLEASE CONTINUE TO USE UW NOTIFY BEFORE AND AFTER QUARTER STARTS. -- PREREQ WAIVERS WILL BE GIVEN IN PERIOD 2. TO REQUEST A PREREQ WAIVER, FILL OUT THE FORM: BIT.LY/STAT-CSE-416-SUM2025 (COPY/PASTE INTO BROWSER) -- PLEASE ONLY COMPLETE PREWAIVER FORM IF YOU HAVE ALREADY TRIED SIGNING UP FOR STAT 416 AND CSE 416. SEE FAQ FOR DETAILS: BIT.LY/STAT-CSE-416-FAQ

 

 
13487 AA
Open

Th 9:40AM - 10:40AM

THO 202

Wolfgang Kirchner Brightenburg

 

 
13488 AB
Open

Th 10:50AM - 11:50AM

MUS 216

Wolfgang Kirchner Brightenburg

 

 
13489 AC
Open

Th 1:10PM - 2:10PM

MUS 216

Andrew Zhang

 

 
13490 AD
Open

Th 2:20PM - 3:20PM

THO 202

Andrew Zhang