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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: Free Trial
      Free Trial
      U

      University of Michigan

      Python Functions, Files, and Dictionaries

      Skills you'll gain: Data Import/Export, Python Programming, File Management, Programming Principles, Data Processing, Data Structures, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Fundamentals of Machine Learning for Healthcare

      Skills you'll gain: Healthcare Ethics, Data Ethics, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Artificial Neural Networks, Healthcare Industry Knowledge, Health Care, Health Technology, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Supervised Learning, Health Informatics, Deep Learning, Data Processing, Image Analysis, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      561 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Shanghai Jiao Tong University

      Mandarin Chinese 1: Chinese for Beginners

      Skills you'll gain: Language Learning, Cultural Diversity, Culture, Vocabulary, Language Competency, Oral Comprehension

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • U

      University at Buffalo

      ADHD: Everyday Strategies for Elementary Students

      Skills you'll gain: Psychological Evaluations, Classroom Management, Teaching, Instructional Strategies, Student Engagement, Parent Communication, Mental and Behavioral Health, Behavior Management, Positive Behavior Support, Working With Children, Pediatrics, Mental Health Diseases and Disorders, Treatment Planning, Child Development, Disabilities

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      Lund University

      Sustainable Cities and Communities

      Skills you'll gain: Community Development, Governance, Environment, Socioeconomics, Innovation, Systems Thinking, Sustainability Reporting, Economics, Policy, and Social Studies, Land Management, Environmental Issue, Landscape Architecture, Environmental Science, Environmental Policy, Public Policies, Environment and Resource Management, Environmental Social And Corporate Governance (ESG), Multimedia, Business Modeling, Experimentation, Stakeholder Engagement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Attention Models

      Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Tensorflow, Machine Learning Methods, Artificial Intelligence, Artificial Neural Networks, Text Mining, Data Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Meta

      Meta iOS UI Development

      Skills you'll gain: iOS Development, Apple iOS, Apple Xcode, User Interface (UI), Mobile Development, Swift Programming, Unit Testing, User Interface (UI) Design, UI Components, Mobile Development Tools, Objective-C (Programming Language), Application Development, Data Structures, Programming Principles, Development Testing, Software Testing, Object Oriented Programming (OOP), Software Design Patterns, Integrated Development Environments, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      IELTS Listening and Speaking Sections Skills Mastery

      Skills you'll gain: Time Management, Oral Comprehension, Active Listening, Language Competency, Public Speaking, Verbal Communication Skills, Learning Strategies, English Language, Vocabulary, Composure, Communication, Grammar, Detail Oriented, Adaptability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      598 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      ADP Entry-Level Payroll Specialist

      Skills you'll gain: Payroll, Payroll Processing, Payroll Systems, Payroll Administration, Payroll Tax, Payroll Reporting, Compensation Strategy, Tax Management, Data Entry, Employee Onboarding, Labor Compliance, Labor Law, Human Resource Strategy, Compensation Management, Compensation and Benefits, Non-Profit Accounting, Tax Compliance, Human Resources, Benefits Administration, Specialized Accounting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      458 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Y

      Yale University

      Overcoming Dyslexia

      Skills you'll gain: Disabilities, Special Education, Literacy, Individualized Education Programs (IEP), Mental and Behavioral Health Specialties, Working With Children, Psychological Evaluations, Education Software and Technology, Resilience, Empowerment, Learning Strategies, Law, Regulation, and Compliance, Neurology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      975 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Mathematical Thinking in Computer Science

      Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Algorithms, Python Programming, Computer Programming, Computer Science, Program Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

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

    • Python Functions, Files, and Dictionaries: University of Michigan
    • Fundamentals of Machine Learning for Healthcare: Stanford University
    • Mandarin Chinese 1: Chinese for Beginners: Shanghai Jiao Tong University
    • Probabilistic Graphical Models 1: Representation: Stanford University
    • ADHD: Everyday Strategies for Elementary Students: University at Buffalo
    • Sustainable Cities and Communities: Lund University
    • Natural Language Processing with Attention Models: DeepLearning.AI
    • Meta iOS UI Development: Meta
    • IELTS Listening and Speaking Sections Skills Mastery: University of California, Irvine
    • ADP Entry-Level Payroll Specialist: Automatic Data Processing, Inc. (ADP)

    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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