Unsupervised Learning Courses and Certifications

K-Means Clustering 101: World Happiness Report

17 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

AI TIME：无监督学习的公平性研究

Explore cutting-edge fairness concepts in unsupervised learning algorithms, focusing on bias detection, ethical considerations, and practical implementation strategies.

• XuetangX
• On-Demand
• Free Online 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
• 4 months 2 weeks 5 days 11 hours 36 minutes
• On-Demand
• Paid Course

Modelos predictivos con Machine Learning

29 reviews

En este curso conocerás los fundamentos del aprendizaje automático y como crear modelos de predicción, regresión y clasificación con ayuda de Python. Explorarás problemas de clasificación, regresión, series de tiempo, agrupamiento y sistemas expertos.

• edX
• 4 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Introducción a la Inteligencia Artificial: Principales Algoritmos

26 reviews

Aprende cómo funcionan los algoritmos de inteligencia artificial que hacen posible los chatbos, automóviles autónomos, el reconocimiento de voz y más.

• edX
• 4 weeks, 4-5 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Machine Learning

1 review

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

• Coursera
• 13 weeks, 9 hours a week
• On-Demand
• Paid Course
• 3 courses

Stanford Seminar - Transformers in Language: The Development of GPT Models Including GPT-3

Explore the evolution of language models from 3-Gram to GPT-3, examining their capabilities in various tasks and discussing the potential of unsupervised learning in AI development.

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

Stanford Seminar - Can the Brain Do Back-Propagation?

Explore the brain's potential for back-propagation learning, examining challenges, alternative methods, and implications for neuroscience and machine learning.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Online Course

Curation and Analysis of Annotated Medical Images Across Institutions - Xiaoyuan Guo

Explore techniques for curating and analyzing annotated medical images across institutions, focusing on data sharing challenges, anomaly detection, and OOD-aware image retrieval for improved dataset quality and future analysis.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Data-Efficient AI for Accelerating MRI Acquisition

Explore physics-guided AI techniques for accelerating MRI acquisition, including unsupervised and semi-supervised approaches. Learn about a new 1.5TB dataset for evaluating MRI reconstructions with clinically-relevant metrics.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Intro to Predictive Analytics Using Python

Master predictive analytics fundamentals using Python, from regression models to advanced techniques like random forests and unsupervised learning, enabling data-driven forecasting and pattern recognition.

• Coursera
• 10 hours 52 minutes
• On-Demand
• Free Online Course (Audit)

Cluster Analysis in Python

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

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

Machine Learning Fundamentals in Python

Learn the art of Machine Learning and come away as a boss at prediction, pattern recognition, and the beginnings of Deep and Reinforcement Learning.

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