Unsupervised Learning

Unsupervised Learning is a type of machine learning that uses algorithms to analyze and cluster unlabeled data. Coursera's Unsupervised Learning catalogue teaches you how to implement this self-guided learning method to discover hidden patterns and correlations in raw, unclassified data. You'll learn about various unsupervised learning models including clustering, anomaly detection, neural networks, and dimensionality reduction. Gain knowledge about the different methods of data analysis, understand how to use clustering and association techniques, and master the art of interpreting and visualizing complex datasets. This skill will enable you to make predictions, enhance data privacy, and implement machine learning models more effectively.

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Build job-relevant skills in under 2 hours with hands-on tutorials.

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Result for "Unsupervised Learning"

  • Coursera

    Skills you'll gain: Model Training, Model Evaluation, Unsupervised Learning, Applied Machine Learning, Microsoft Azure, Machine Learning Methods, Data Validation, Unstructured Data, No-Code Development, Data Capture, Data Processing, Cloud Services

    4.8 stars, 24 reviews, Beginner, Guided Project, Less Than 2 Hours