Coursera Master's Degree 0

Introduction to Machine Learning: Unsupervised Learning

Name: Introduction to Machine Learning: Unsupervised Learning
Price: 49 USD
Availability: InStock

University of Colorado Boulder

About this course

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

83/100

CourseAsk score

What the provider tells you: 32/45
Who stands behind it: 35/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

Analyze and visualize high-dimensional data
Apply Principal Component Analysis
Utilize clustering methods like K-Means and hierarchical clustering
Address challenges like missing data
Develop recommender systems

Machine Learning #machine learning #principal component analysis #unsupervised learning #data analysis #recommender systems #clustering #missing data #k-means #hierarchical clustering #high-dimensional data

$49.00

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