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  • Unsupervised Learning

Unsupervised Learning Courses

Unsupervised learning courses can help you learn clustering techniques, dimensionality reduction, and anomaly detection. You can build skills in data preprocessing, feature extraction, and interpreting complex datasets. Many courses introduce tools like Python libraries such as Scikit-learn and TensorFlow, that support implementing these methods in projects. You'll also explore practical applications in areas like customer segmentation, image processing, and recommendation systems, enhancing your ability to derive insights from unlabelled data.


Popular Unsupervised Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Drug Development Product Management

    Skills you'll gain: Drug Development, Clinical Trials, Pharmaceuticals, Clinical Research, Commercialization, Pre-Clinical Development, Good Clinical Practices (GCP), Pharmacotherapy, Pharmacology, Regulatory Affairs, Intellectual Property, Sales Strategy, Biotechnology, Portfolio Management, Bioinformatics, Precision Medicine, Strategic Partnership, Regulatory Compliance, Marketing, Marketing Strategies

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Bases teóricas de la gestión de la salud y las lesiones

    Skills you'll gain: Exercise Science, AI Enablement, Risk Modeling, Precision Medicine, Predictive Modeling, Load Balancing, Health Education, Machine Learning, Data Modeling, Real Time Data, Mathematical Modeling

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate, Analyze, and Evaluate ML Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Business: Intermediate I

    Skills you'll gain: Microsoft Excel, Dashboard, Spreadsheet Software, Data Analysis Expressions (DAX), Consolidation, Business Reporting, Data Management, Data Integration, Data Cleansing, Automation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Generative AI Application Integration Patterns

    Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, Prompt Engineering, ChatGPT, AI Enablement, AI Security, Cloud Development, AI Workflows, Data Ethics, Real Time Data, Large Language Modeling, Model Deployment, Cloud Computing Architecture, Artificial Intelligence, MLOps (Machine Learning Operations), Deep Learning, Scalability, System Monitoring

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    HTML, CSS, and Javascript for Web Developers

    Skills you'll gain: HTML and CSS, Ajax, Javascript, Responsive Web Design, Front-End Web Development, Web Design, Web Applications, Cascading Style Sheets (CSS), Development Environment, Web Development Tools, Web Content Accessibility Guidelines

    4.7
    Rating, 4.7 out of 5 stars
    ·
    17K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize AI: Build Robust Ensemble Models

    Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Data Science in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Cleansing, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Pivot Tables And Charts, Data Analysis, Python Programming, Data Import/Export, Programming Principles

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Science Methodology

    Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Data Mining, Model Evaluation, Business Analysis, Data Analysis, Business Requirements, Decision Tree Learning, Data Storytelling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build & Adapt LLM Models with Confidence

    Skills you'll gain: Model Deployment, LLM Application, Large Language Modeling, System Monitoring, Scalability, Hugging Face, Cloud Deployment, Performance Tuning, MLOps (Machine Learning Operations), Prompt Engineering, Transfer Learning, AI Security, Applied Machine Learning, Application Security, Artificial Intelligence, API Design, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Data Science

    Skills you'll gain: Data Storytelling, Data Ethics, Data-Driven Decision-Making, Analytics, Workflow Management, Business Analytics, Data Science, Project Design, Data Visualization Software, Project Management, Communication, Stakeholder Communications

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Advanced · Course · 1 - 3 Months

Searches related to unsupervised learning

unsupervised learning, recommenders, reinforcement learning
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supervised learning
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supervised machine learning: regression
unsupervised learning and its applications in marketing
1…909192…540

In summary, here are 10 of our most popular unsupervised learning courses

  • Drug Development Product Management: University of California San Diego
  • Bases teóricas de la gestión de la salud y las lesiones: Real Madrid Graduate School Universidad Europea
  • Automate, Analyze, and Evaluate ML Experiments: Coursera
  • Excel Skills for Business: Intermediate I: Macquarie University
  • Generative AI Application Integration Patterns: Packt
  • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
  • Optimize AI: Build Robust Ensemble Models: Coursera
  • Introduction to Data Science in Python: University of Michigan
  • Data Science Methodology: IBM
  • Build Robust Java ML Models with Entropy: Coursera

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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