University of Colorado Boulder - Unsupervised Algorithms in Machine Learning
- Offered byCoursera
- Public/Government Institute
Unsupervised Algorithms in Machine Learning at Coursera Overview
Duration | 38 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
Unsupervised Algorithms in Machine Learning at Coursera Highlights
- Reset flexible deadlines in accordance to your schedule
Earn a Certificate upon completion
Unsupervised Algorithms in Machine Learning at Coursera Course details
- In this course, we will learn selected unsupervised learning methods for dimensionality reduction, clustering, and learning latent features
- We will also focus on real-world applications such as recommender systems with hands-on examples of product recommendation algorithms
Unsupervised Algorithms in Machine Learning at Coursera Curriculum
Unsupervised Learning Intro
Unsupervised Learning Introduction
Intuition
How it works
Pre-Requisite Course Knowledge
Welcome and Where to Find Help
Course Textbooks
Things of Note for Programming Assignments
Information on Peer Reviews
Honor Code
Module 1 Slides
ISLR 12.2: Principal Component Analysis
Fashion-MNIST Dataset
Programming Assignments Quiz
Honor Code Quiz
Week 1 Quiz
Clustering
Clustering Introduction
Hierarchical Clustering
Module 2 Slides
ISLR 12.4: Clustering Methods
Week 2 Quiz
Recommender System
Recommender System Introduction
Similarity Measures
Calculating Similarity Examples
Recommender Systems in Large Scale
Module 3 Slides
Week 3 Quiz
Matrix Factorization
Matrix Factorization Introduction
Eigen Decomposition
Singular Value Decomposition
Non-negative Matrix Factorization
NMF Optimization
Module 4 Slides
Week 4 Quiz
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