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    • Unsupervised Learning

    Unsupervised Learning Courses Online

    Study unsupervised learning for machine learning. Learn about clustering, dimensionality reduction, and anomaly detection techniques.

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    Explore the Unsupervised Learning Course Catalog

    • Status: New
      New
      P

      Packt

      Vector Databases Deep Dive

      Skills you'll gain: NoSQL, Database Systems, Database Management Systems, Databases, Database Management, Data Storage Technologies, Data Structures, Data Management, Performance Tuning, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Algorithms

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Pontificia Universidad Católica de Chile

      Análisis de sistemas térmicos usando Python

      Skills you'll gain: Thermal Management, Plot (Graphics), Mechanical Engineering, Engineering Analysis, HVAC, Simulations, Engineering Calculations, Hydraulics, Visualization (Computer Graphics), Python Programming, NumPy, Computer Programming Tools

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Introduction to Website Development Technologies

      Skills you'll gain: Hypertext Markup Language (HTML), Web Development, Bootstrap (Front-End Framework), Development Environment, Responsive Web Design, Version Control, GitHub, Cascading Style Sheets (CSS), Web Design, Front-End Web Development, Application Deployment, Javascript, Integrated Development Environments, Web Development Tools, Cloud Hosting

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Azure Data Engineering: Cosmos DB, SQL & Analytics

      Skills you'll gain: Dashboard, Azure Synapse Analytics, Microsoft Azure, Transact-SQL, Data Storage, Data Architecture, Performance Tuning, Query Languages, SQL, NoSQL, Cloud-Native Computing, Data Processing, Business Intelligence, Analytics, Cloud Computing Architecture, Data Integration, Data Modeling, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Computational Thinking for Problem Solving

      Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Python Programming, Data Structures, Computer Hardware, Computer Programming, Analysis, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Data Analytics and Big Data

      Skills you'll gain: Database Design, Relational Databases, Database Application, Database Systems, Database Management, NoSQL, Database Theory, Databases, Database Development, Machine Learning Algorithms, SQL, Big Data, Apache Hadoop, Database Management Systems, MySQL, Statistical Analysis, Data Visualization, Data Analysis, Apache Spark, Data Modeling

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      63 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AWS Generative AI Applications

      Skills you'll gain: Prompt Engineering, Generative AI, Generative AI Agents, Data Ethics, AWS SageMaker, Amazon Web Services, MLOps (Machine Learning Operations), Application Programming Interface (API), Application Development, Solution Architecture, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Public Cloud, Data Governance, Large Language Modeling, API Design, Cost Management, Information Privacy, Business Ethics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      14 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Como criar agentes de IA generativa com a Vertex AI e o Flutter

      Skills you'll gain: Flutter (Software), Generative AI, Generative AI Agents, Google Cloud Platform, Mobile Development, Mobile Development Tools, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Master LangChain with No-Code tools - Flowise and LangFlow

      Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI, Large Language Modeling, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Automation, Application Development, Application Programming Interface (API), Data Integration, Software Installation

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      B

      Board Infinity

      Salesforce Omnistudio

      Skills you'll gain: Spring Framework, Scalability, Software Architecture, Maintainability, Java, Dependency Analysis, Software Design Patterns, Object Oriented Programming (OOP), Testability, Transaction Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera

      Experience Essentials: Unlocking the UX Process with Miro

      Skills you'll gain: User Experience Design, User Centered Design, Prototyping, Wireframing, User Research, Design Thinking, Collaborative Software

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Harnessing Ollama – Create Local LLMs with Python

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Python Programming, Command-Line Interface, Natural Language Processing, Data Store, Application Development, Application Programming Interface (API), Restful API, Development Environment, System Requirements, Software Installation

      Intermediate · Course · 1 - 3 Months

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

    • Vector Databases Deep Dive: Packt
    • Análisis de sistemas térmicos usando Python: Pontificia Universidad Católica de Chile
    • Introduction to Website Development Technologies: Packt
    • Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera Instructor Network
    • Computational Thinking for Problem Solving: University of Pennsylvania
    • Data Analytics and Big Data: Illinois Tech
    • AWS Generative AI Applications: Amazon Web Services
    • Como criar agentes de IA generativa com a Vertex AI e o Flutter: Google Cloud
    • Master LangChain with No-Code tools - Flowise and LangFlow: Packt
    • Salesforce Omnistudio: Board Infinity

    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)

    Frequently Asked Questions about Unsupervised Learning

    Unsupervised learning is a type of AI-based machine learning that lets people get information from untargeted data sets. The machines find and manage unlabeled data so people are able to take advantage of complex tools, such as dimension reduction algorithms and clustering. The result of unsupervised learning is that users are able to identify patterns and results that emerge from a raw data set. Instead of entering a data set or goal, someone using unsupervised learning gets to let the data sets and patterns emerge to find the algorithm that makes the most sense.‎

    If you enjoy solving complex puzzles and detecting hidden information to answer questions, learning about unsupervised learning puts it within your grasp to identify and present data in a coherent, usable manner. Learning how tools like dimensionality reduction algorithms and clustering let you break raw data into subsets and categories or clusters that can be used to create models. This makes the information usable for decision-making purposes as well as for directing supervised AI to explore specific data subsets. The categorized information becomes more relevant, and the characteristics of data clusters become more recognizable.‎

    Data scientists and machine learning (AI) specialists are two career opportunities that can emerge from picking up the study of unsupervised learning. Before studying unsupervised learning, it helps to have Python programming knowledge and know the basics of calculus, data cleaning, probability, statistics, linear algebra, and exploratory data analysis because unsupervised learning builds upon these skills. You might work exclusively in the field of IBM machine learning strategies, or you may work in another field, such as engineering, customer market segmentation, data mining, or predictive analysis. Studying unsupervised learning helps you stay on top of developments in machine learning to stay relevant as well as advance in your career if you're already in the field.‎

    The online unsupervised learning courses on Coursera give you the knowledge and practical experience about machine learning so you're able to use tools like k-means clustering, cluster analysis, and principle component analysis (PCA) to apply unsupervised machine learning techniques in a business setting. Apply these new skills and newly learned information to real-life business situations. Our online unsupervised learning courses provide the information and opportunity for you to develop a skill set that helps you reach your career goals or earn college credits at your own pace, and on your own terms.‎

    Online Unsupervised Learning courses offer a convenient and flexible way to enhance your knowledge or learn new Unsupervised Learning skills. Choose from a wide range of Unsupervised Learning courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Unsupervised Learning, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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