Unsupervised Learning Courses and Certifications

Brown University;  Georgia Tech

Machine Learning: Unsupervised Learning

3 ratings

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
• Self-Paced
• Free Online Course

Yannic Kilcher

Learning to Classify Images Without Labels - Paper Explained

Explore innovative techniques for unsupervised image classification, combining representation learning, clustering, and self-labeling to group visually similar images without predefined labels.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Kaggle;  Amazon;  Amazon Web Services Credential

AWS Machine Learning Engineer Nanodegree

11 ratings

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
• Self-Paced
• Paid Course

Predictive Modelling with Applications: Supervised and Unsupervised Learning

Master predictive modeling techniques including PCA, clustering, regression analysis, and logistic regression using R for improved data-driven decision making.

• Swayam
• 8 weeks
• Self-Paced
• Free Online Course

Andreas Geiger

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Explore unsupervised disentanglement of factors in natural videos using SlowVAE. Learn about temporal sparse coding, identifiability proof, and performance on benchmark datasets including new natural dynamics benchmarks.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Aladdin Persson

Latent Dirichlet Allocation with Gibbs Sampling Explained

Comprehensive explanation of Latent Dirichlet Allocation (LDA) with Gibbs Sampling, covering topic modeling, posterior inference, and implementation details. Ideal for those interested in understanding this classic machine learning technique.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

Nonlinear Independent Component Analysis - Aapo Hyvärinen

Explore nonlinear independent component analysis, its applications in AI and unsupervised learning, and recent advancements in deep latent variable models with Aapo Hyvärinen.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Data Science Dojo

Search Query Expansion Using Natural Language Processing and Machine Learning

Explore advanced NLP techniques for enterprise search query expansion, leveraging unsupervised machine learning to analyze term relationships and improve complex technical content discovery.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Andreas Geiger

Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences

Explore unsupervised object-centric learning approaches for video sequences, comparing perceptual abilities in detection, segmentation, and tracking using a benchmark dataset of procedurally generated videos.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Unsupervised ML - Clustering, Dimensionality Reduction, Applications by Rahul Siddharthan

Explore unsupervised machine learning techniques for clustering and dimensionality reduction, with practical applications in data analysis and pattern discovery.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Chemometrics & Machine Learning in Copenhagen

Generalized Tensor Decomposition - Utility for Data Analysis

Explore tensor decomposition methods beyond sum of squares error, including KL divergence and logistic odds, for improved data analysis in various fields like criminology and neuroscience.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

GAIA

Characterizing High-Needs High-Cost Patients with Segmentation

Explore unsupervised learning techniques to identify and characterize high-needs, high-cost patients in healthcare systems, improving resource allocation and patient care strategies.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Wolfram

Safety Log Analysis in Oil and Gas - A Multi-stage LLM Approach

Discover how LLMs revolutionize safety log analysis in oil and gas through multi-stage processing of 15,000 observations using domain-specific frameworks and unsupervised learning techniques.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

HUJI Machine Learning Club

Consistent Amortized Clustering via Generative Flow Networks

Discover a novel framework for amortized clustering using Generative Flow Networks that ensures order-invariant cluster assignments and outperforms existing methods on real-world data.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Unsupervised ASR Framework and Bayesian Generative Modeling Approach

Explore unsupervised automatic speech recognition frameworks using Bayesian generative modeling techniques for advanced speech processing applications.

• YouTube
• 10 minutes
• Self-Paced
• Free Video