Introduction to Machine Learning: Unsupervised Learning
Introduction to Machine Learning: Unsupervised Learning explores how machines uncover structure, patterns, and relationships in data without labeled outcomes. In this course, you’ll learn how to analyze and visualize high-dimensional data using Principal Component Analysis, discover natural groupings through clustering methods like K-Means and hierarchical clustering, and tackle real-world challenges such as missing data and recommender systems. Through hands-on practice and thoughtful interpretation, you’ll build the intuition and practical skills needed to extract insight from complex, unlabeled datasets.
This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS), Master of Science in Artificial Intelligence (MS-AI), and Master of Science in Data Science (MS-DS) degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more:
MS in Artificial Intelligence: https://www.coursera.org/degrees/ms-artificial-intelligence-boulder
MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Unsupervised Learning
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Python Sets: One of the Most Powerful Data Structures Beginners Often Ignore
Medium · Python
Bigger AI models aren't always better. Here's how to actually choose.
Dev.to · Rohini Gaonkar
Nobody Knows What The Beach Is Saying. And That’s The Point.
Medium · Deep Learning
Building a Production MCP Server in TypeScript: 5 Gotchas the Tutorials Skip
Dev.to · Andrew Vaughey
🎓
Tutor Explanation
DeepCamp AI