Unsupervised Learning Courses and Certifications

Machine Learning for Business

Understand the fundamentals of Machine Learning and how it's applied in the business world.

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

Fraud Detection in Python

Learn to detect fraud using Python, applying supervised and unsupervised learning techniques, handling imbalanced datasets, and implementing practical models with hands-on experience and real-life insights.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Machine Learning Scientist in Python

Discover machine learning with Python and work towards becoming a machine learning scientist. Explore supervised, unsupervised, and deep learning.

• DataCamp
• 3 days 13 hours
• Self-Paced
• Free Trial Available

Designing Machine Learning Workflows in Python

Learn to build pipelines that stand the test of time.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Practicing Machine Learning Interview Questions in Python

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Machine Learning Scientist in R

A machine learning scientist researches new approaches and builds machine learning models.

• DataCamp
• 2 days 17 hours
• Self-Paced
• Free Trial Available

Practicing Machine Learning Interview Questions in R

Prepare for your upcoming machine learning interview by working through these practice questions that span across important topics in machine learning.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Unsupervised Meta-Learning for Few-Shot Image Classification

Explore unsupervised meta-learning techniques for few-shot image classification, including task construction, augmentation methods, and performance on benchmark datasets.

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

Yannic Kilcher

Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery

Explore dynamical distance learning for reinforcement agents, enhancing policy learning through state distance estimation. Discover applications in semi-supervised and unsupervised skill acquisition.

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

Databricks

Unsupervised Machine Learning for Scaling Data Quality Monitoring in Databricks

Explore unsupervised ML algorithms for scalable data quality monitoring in Databricks, covering implementation, strengths, weaknesses, and practical applications for effective data management.

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

Alfredo Canziani

Unsupervised Learning - Autoencoding the Targets

Explore unsupervised learning and generative models, covering topics like latent space interpolation, style transfer, super resolution, and autoencoders. Gain insights into advanced machine learning concepts and techniques.

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

Discover AI

Unsupervised In-Context Learning Plus: From Few-Shot to Many-Shot Learning in Large Language Models

Explore advanced In-Context Learning techniques for Large Language Models, from few-shot to many-shot approaches, focusing on unsupervised learning and autonomous capabilities with 1M token context.

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

Google Cloud Tech

How to Create ML Models That Teach Themselves - Unsupervised Learning in Self-Driving Cars

Explore self-driving car technology and unsupervised ML models with Helm.ai. Learn about deep teaching, real-world applications, and future enhancements in autonomous vehicle development.

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

Machine Learning for Absolute Beginners - Level 1

33805 ratings at Udemy

Learn the Fundamental Concepts of Artificial Intelligence and Machine Learning as the Next Game-Changing Technology

• Udemy
• 4 hours 28 minutes
• Self-Paced
• Paid Course

Career Certificate

Implementing AI Algorithms from Scratch

315 ratings at CodeSignal

Master the fundamentals of AI by implementing machine learning algorithms from scratch, covering regression, classification, optimization, ensemble methods, clustering, and neural networks with hands-on coding.

• CodeSignal
• 21 hours
• Self-Paced
• Free Certificate
• 6 courses