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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

      Comprehensive Introduction to Quantum Mechanics

      Skills you'll gain: Physics, Emerging Technologies, Mechanics, Chemistry, Cryptography, Computer Science, Quantitative Research, Mathematical Modeling

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
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      Packt

      Blender 4 - Geometry Nodes for Beginners

      Skills you'll gain: 3D Modeling, Computer Graphics, Visualization (Computer Graphics), Prototyping, Design

      Beginner · Course · 1 - 3 Months

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

      IBM

      Fundamentals of Building AI Agents

      Skills you'll gain: Prompt Engineering, Generative AI Agents, Large Language Modeling, OpenAI, Artificial Intelligence, Agentic systems, Query Languages, SQL, Natural Language Processing, Pandas (Python Package), Data Analysis, Usability

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Getting Started with Flutter & Dart

      Skills you'll gain: Flutter (Software), Mobile Development, UI Components, Cross Platform Development, iOS Development, Maintainability, Microsoft Visual Studio, Development Environment, Application Development, Object Oriented Programming (OOP), Programming Principles, Computer Programming

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Project Management Best Practices using Agile and Scrum

      Skills you'll gain: Agile Methodology, Sprint Retrospectives, Agile Project Management, Agile Software Development, Team Management, Change Management, Team Building, Backlogs, Kanban Principles, Sprint Planning, Organizational Leadership, Project Management, Communication

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Java Fundamentals - Getting Started with Java

      Skills you'll gain: Java, Object Oriented Programming (OOP), Software Development Life Cycle, Program Development, Development Environment, Computer Programming, Software Development, Integrated Development Environments, Linux, Command-Line Interface

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exam Prep (SAP-C02): AWS Solutions Architect - Professional

      Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, AWS SageMaker, Amazon DynamoDB, Amazon Redshift, Serverless Computing, Identity and Access Management, Amazon S3, AWS CloudFormation, Cloud Management, AWS Kinesis, Infrastructure as Code (IaC), Amazon Web Services, Cloud Security, Network Security, Threat Detection, Amazon Elastic Compute Cloud, Network Architecture, Infrastructure Security, Kubernetes

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Design and Implement Processes and Communications

      Skills you'll gain: Azure DevOps, DevOps, Agile Methodology, Continuous Delivery, Collaborative Software, Process Driven Development, Microsoft Azure, Continuous Integration, Application Performance Management, Version Control

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Dassault Systèmes

      SOLIDWORKS Advanced Sketching and Reference Geometry

      Skills you'll gain: SolidWorks (CAD), Computer-Aided Design, Mechanical Drawings, 3D Modeling, Drafting and Engineering Design

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Beginning Security

      Skills you'll gain: Open Web Application Security Project (OWASP), Secure Coding, Application Security, Data Security, Cybersecurity, Cyber Attacks, Threat Modeling, Web Applications, Threat Detection, Security Awareness, Vulnerability Management, Encryption, Authentications, Authorization (Computing), PHP (Scripting Language)

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      S

      Starweaver

      Strategic Leadership in Hospitality

      Skills you'll gain:

      4.4
      Rating, 4.4 out of 5 stars
      ·
      89 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      S

      Starweaver

      Business Process Modeling with AI

      Skills you'll gain: Business Process Modeling, Business Process, Digital Transformation, Business Process Management, Business Process Improvement, Process Design, Business Process Automation, Process Analysis, Business Transformation, Workflow Management, Process Optimization, Quality Improvement, Lean Methodologies, Six Sigma Methodology, Automation, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

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

    • Comprehensive Introduction to Quantum Mechanics: Packt
    • Blender 4 - Geometry Nodes for Beginners: Packt
    • Fundamentals of Building AI Agents: IBM
    • Getting Started with Flutter & Dart: Packt
    • Project Management Best Practices using Agile and Scrum: Packt
    • Java Fundamentals - Getting Started with Java: Packt
    • Exam Prep (SAP-C02): AWS Solutions Architect - Professional: Whizlabs
    • Design and Implement Processes and Communications: Whizlabs
    • SOLIDWORKS Advanced Sketching and Reference Geometry: Dassault Systèmes
    • Beginning Security: Packt

    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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