Unsupervised Learning Courses and Certifications

Centre International de Rencontres Mathématiques

Challenges in Unsupervised Learning - Statistical-Computational Trade-offs - Part 1

Explore statistical-computational trade-offs in unsupervised learning, examining when algorithms can achieve both efficiency and optimality in pattern discovery.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Serrano.Academy

Unsupervised Learning

Explore key unsupervised learning techniques including clustering, dimensionality reduction, and generative models. Gain insights into real-world applications like recommendation systems and image compression.

• YouTube
• 4 hours 30 minutes
• On-Demand
• Free Video

Unsupervised Learning in Python

81 ratings at DataCamp

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Brown University;  Georgia Tech

Machine Learning: Unsupervised Learning

3 reviews

Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning!

• Udacity
• 5 hours
• On-Demand
• Free Online Course

Unsupervised Learning in R

22 ratings at DataCamp

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

DeepLearning.AI;  Stanford

Unsupervised Learning, Recommenders, Reinforcement Learning

5518 ratings at Coursera

Explore unsupervised learning, recommender systems, and reinforcement learning. Master clustering, anomaly detection, and deep Q-learning to solve real-world AI challenges.

• Coursera
• 1 day 3 hours 51 minutes
• On-Demand
• Paid Course

Unsupervised Text Classification for Marketing Analytics

Aprende a usar aprendizaje profundo no supervisado para extraer temas e insights de datos textuales en marketing, con tutoriales en Python y un proyecto final. Utiliza Jupyter Notebooks y Google Colab.

• Coursera
• 13 hours 28 minutes
• On-Demand
• Paid Course

Coursera

K-Means Clustering 101: World Happiness Report

21 ratings at Coursera

Explore K-means clustering to analyze global happiness data, grouping countries based on economic, social, and well-being factors for insights into worldwide happiness trends.

• Coursera
• 1 hour 35 minutes
• On-Demand
• Paid Course

Kaggle;  Amazon;  Amazon Web Services Microcredential

AWS Machine Learning Engineer Nanodegree

11 reviews

Master foundational ML skills, from supervised learning to deep learning. Deploy models to production environments and complete a capstone project in your chosen domain.

• Udacity
• 94 hours
• On-Demand
• Paid Course

Data Mining - Unsupervised Learning

117 ratings at Udemy

Master unsupervised learning techniques including clustering, dimensionality reduction, and association rules. Apply practical algorithms for pattern discovery, anomaly detection, and recommendation systems using Python and R.

• Udemy
• 10 hours 42 minutes
• On-Demand
• Paid Course

K-Means for Cluster Analysis and Unsupervised Learning in R

49 ratings at Udemy

The powerful K-Means Clustering Algorithm for Cluster Analysis and Unsupervised Machine Learning in R

• Udemy
• 3 hours 10 minutes
• On-Demand
• Paid Course

Packt

Cluster Analysis and Unsupervised Machine Learning in Python

Master clustering algorithms and unsupervised machine learning techniques in Python, from K-Means to Gaussian Mixture Models, with hands-on implementation and real-world applications.

• Coursera
• 13 hours 39 minutes
• On-Demand
• Paid Course

Packt

Advanced ML Algorithms & Unsupervised Learning

Master advanced machine learning techniques including Random Forest, SVM, PCA, K-Means clustering, and deep learning fundamentals to build more powerful predictive models and uncover patterns in unlabeled data.

• Coursera
• 8 hours 43 minutes
• On-Demand
• Paid Course

Microcredential

Machine Learning

38295 ratings at Coursera

Comprehensive introduction to machine learning fundamentals, covering supervised and unsupervised learning techniques, with practical applications and best practices from Silicon Valley.

• Coursera
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Towards Unsupervised Biomedical Image Segmentation Using Hyperbolic Representations - Jeffrey Gu

2 reviews

Explore unsupervised biomedical image segmentation using hyperbolic representations. Learn about novel self-supervised hierarchical loss and its applications in medical imaging analysis.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video