Unsupervised Learning Courses and Certifications

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 Online 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 26 minutes
• On-Demand
• Free Online Course (Audit)

Trees, SVM and Unsupervised Learning

Explore support vector machines, neural networks, decision trees, and XG boost for predictive modeling. Learn data representation through PCA and clustering for practical applications in data science.

• Coursera
• 12 hours 58 minutes
• On-Demand
• Free Online Course (Audit)

Unsupervised Algorithms in Machine Learning

11 ratings at Coursera

Explore unsupervised machine learning techniques for dimensionality reduction, clustering, and latent feature discovery. Apply these methods to real-world scenarios like recommender systems using Python.

• Coursera
• 1 day 14 hours 9 minutes
• On-Demand
• Free Online Course (Audit)

Unsupervised Machine Learning Hidden Markov Models in Python

4260 ratings at Udemy

HMMs for stock price analysis, language modeling, web analytics, biology, and PageRank.

• Udemy
• 9 hours 47 minutes
• On-Demand
• Paid Course

Unsupervised Machine Learning

253 ratings at Coursera

Explore unsupervised machine learning techniques, including clustering and dimensionality reduction, to uncover insights from unlabeled data. Gain hands-on experience with algorithms and best practices.

• Coursera
• 23 hours 22 minutes
• On-Demand
• Free Online Course (Audit)

Unsupervised Machine Learning : With 2 Capstone ML Projects

87 ratings at Udemy

Learn Complete Unsupervised ML: Clustering Analysis and Dimensionality Reduction

• Udemy
• 2 hours 59 minutes
• On-Demand
• Paid Course

Unsupervised Learning and Its Applications in Marketing

Explore unsupervised learning techniques in Python for marketing insights. Uncover customer segments, reduce data dimensions, detect anomalies, and build recommender systems to drive data-driven marketing strategies.

• Coursera
• 21 hours 43 minutes
• On-Demand
• Free Online Course (Audit)

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 Online Course

Great Learning

Unsupervised Learning - Clustering and Association Algorithms in Machine Learning

In this tutorial, we will help you to cover every concept related to Unsupervised Learning.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Online Course

Great Learning

Unsupervised Learning Tutorial - Clustering Algorithm - Association Rule Mining

This Unsupervised Learning Tutorial will introduce you to the nitty gritty of Machine Learning and How Unsupervised Algorithms Work.

• YouTube
• 4 hours 10 minutes
• On-Demand
• Free Online Course

MITCBMM

Unsupervised Learning of Spoken Language with Visual Context

Explores unsupervised learning of spoken language using visual context, aiming to develop ASR capabilities for more languages through audio-visual embedding and clustering techniques.

• YouTube
• 34 minutes
• On-Demand
• Free Online Course

Simons Institute

Power of Active Sampling for Unsupervised Learning

Explore active sampling techniques for unsupervised learning, focusing on matrix completion, graphical models, and clustering. Learn about statistical tradeoffs and computational complexity.

• YouTube
• 52 minutes
• On-Demand
• Free Online Course

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
• On-Demand
• 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
• On-Demand
• Free Online Course