CRS-0103-02-001
Introduction to Machine Learning
activeintroductory
Introduces supervised learning, regression, classification, and model evaluation.
Subject
Algorithms and theory for learning from data, including supervised and unsupervised methods.
Canonical ID: urn:taxonomy:cip-aligned:subject:0103-02
Also known as: ML, Statistical Learning
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Introduces supervised learning, regression, classification, and model evaluation.
Covers unsupervised learning, dimensionality reduction, clustering, and ensemble methods.
Examines neural networks, deep learning basics, and advanced model selection.
Applies ML to domains such as vision, language, health, and finance.
Advanced ML including reinforcement learning, generative models, and representation learning.