CMSC 173

Machine Learning

Fundamentals of machine learning algorithms and applications

Course Overview
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Course Syllabus
Schedule, grading, policies & resources
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Fundamentals 5 modules
intro
Welcome to CMSC 173
Module intro
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0
Introduction to Machine Learning
Module 0
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1
Introduction to Machine Learning
Module 1
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2
Linear Regression
Module 2
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3
Regularization
Module 3
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Model Selection & Validation 3 modules
4
Exploratory Data Analysis
Module 4
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5
Model Selection
Module 5
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6
Cross Validation
Module 6
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Classification Methods 4 modules
7
PCA
Module 7
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8
Logistic Regression
Module 8
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9
Classification
Module 9
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10
Kernel Methods
Module 10
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Deep Learning 3 modules
11
Clustering
Module 11
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12
Neural Networks
Module 12
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13
Advanced Neural Networks
Module 13
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📋
ML Research Project — Up to 5 members per group · 2nd Sem 2025-2026
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