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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Results for "Unsupervised Learning"

  • Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Responsible AI, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction

  • Skills you'll gain: Unsupervised Learning, Embeddings, Applied Machine Learning, Data Quality, Unstructured Data, Machine Learning Methods, Anomaly Detection, Data Preprocessing, Data Transformation, Python Programming, Exploratory Data Analysis, Model Evaluation

  • From the course: Unlocking AI and ML : Your Path to Smart Business Solutions·Lesson: Introduction to Machine Learning

  • From the course: Machine Learning Fundamentals for Java Developers·Lesson: Clustering

  • From the course: AI in Manufacturing: Predictive Maintenance and Alerts·Lesson: From model to production

  • From the course: Introduction to AI and Machine Learning·Lesson: Getting Started with AI and ML

  • University of Illinois Urbana-Champaign

    From the course: Advancing Dairy Management with Artificial Intelligence·Lesson: 3.2 | Supervised vs. Unsupervised Learning

  • From the course: Understand and Apply Artificial Intelligence Fundamentals·Lesson: Learning from Labeled and Unlabeled Data

  • From the course: AI and Machine Learning Algorithms and Techniques·Lesson: Introduction to unsupervised learning

  • From the course: Artificial Intelligence for Marketing·Lesson: Unsupervised Learning

  • From the course: How Entrepreneurs in Emerging Markets can master the Blockchain Technology·Lesson: Unsupervised, supervised and reinforcement learning

  • O.P. Jindal Global University

    From the course: Unsupervised Learning and Its Applications in Marketing·Lesson: Unsupervised Algorithms-Part II