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    • Pattern Recognition

    Pattern Recognition Courses Online

    Master pattern recognition for machine learning and AI. Learn to identify patterns in data and develop recognition algorithms.

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    Explore the Pattern Recognition Course Catalog

    • L

      L&T EduTech

      Collaborative Robotics in Industry

      Skills you'll gain: Automation Engineering, Programmable Logic Controllers, Electrical Systems, Hydraulics, Control Systems, Automation, Simulation and Simulation Software, Internet Of Things, Robotic Process Automation, Mechanical Engineering, Real Time Data, Human Machine Interfaces, Industrial Engineering, Manufacturing and Production, Electronics, Hardware Troubleshooting, Image Analysis, Matlab, Equipment Design, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      93 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free
      U

      Universitat de Barcelona

      Prehospital care of acute stroke and patient selection for endovascular treatment using the RACE scale

      Skills you'll gain: Acute Care, Medical Emergency, Triage, Emergency Medical Services, Emergency Departments, Emergency Medicine, Neurology, Care Coordination, Patient Evaluation, Patient Treatment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Alfaisal University | KLD

      أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI

      Skills you'll gain: Computer Vision, Natural Language Processing, Machine Learning, Big Data, Artificial Intelligence, Supervised Learning, Reinforcement Learning, Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      206 reviews

      Beginner · Course · 1 - 3 Months

    • Y

      Yonsei University

      International Marketing Entry and Execution

      Skills you'll gain: Global Marketing, Strategic Marketing, Consumer Behaviour, Target Market, Business-To-Consumer, Marketing Strategies, Innovation, Promotional Strategies, Marketing Channel, Go To Market Strategy, Product Marketing, Market Analysis, Branding, Social Media Marketing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      334 reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      The Data Science of Health Informatics

      Skills you'll gain: Health Informatics, Health Care, Health Information Management, Databases, Healthcare Industry Knowledge, Clinical Data Management, Electronic Medical Record, Data Mining, Data Analysis, Data Quality, Interoperability, Big Data, Query Languages, Data Integration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      213 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Meaningful Predictive Modeling

      Skills you'll gain: Predictive Modeling, Data Validation, Verification And Validation, Applied Machine Learning, Regression Analysis, Supervised Learning, Classification And Regression Tree (CART), Python Programming, Statistical Methods, Scikit Learn (Machine Learning Library), Text Mining, Test Data, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      48 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      M

      Microsoft

      Build a computer vision app with Azure Cognitive Services

      Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Solutions

      4.4
      Rating, 4.4 out of 5 stars
      ·
      287 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • B

      Board Infinity

      Data Structures & Backend with Java

      Skills you'll gain: Spring Boot, Restful API, Model View Controller, Spring Framework, Java, Java Programming, Web Services, Back-End Web Development, Data Structures, Object Oriented Programming (OOP), Authentications, Authorization (Computing)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      102 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      市场营销概论 (中文版)

      Skills you'll gain: Marketing, Strategic Marketing, Marketing Strategies, Brand Management, Consumer Behaviour, Brand Strategy, Go To Market Strategy, Marketing Communications, New Business Development, Customer Insights, Market Opportunities

      4.8
      Rating, 4.8 out of 5 stars
      ·
      238 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Virginia

      Pricing Strategy in Practice

      Skills you'll gain: Price Negotiation, Market Dynamics, Revenue Management, Product Strategy, Strategic Marketing, Presentations, Consumer Behaviour, Cost Accounting, Customer Analysis, Competitive Analysis, Market Research, Business Strategy, Sales Presentations, Market Analysis, Microsoft PowerPoint, Value Propositions, Market Share, Business Economics, B2B Sales

      4.7
      Rating, 4.7 out of 5 stars
      ·
      166 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      MathWorks

      Advanced Deep Learning Techniques for Computer Vision

      Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Politecnico di Milano

      Artificial Intelligence: An Overview

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Computer Science, Computer Vision, Technology Strategies, Natural Language Processing, Innovation, Computer Hardware

      4.5
      Rating, 4.5 out of 5 stars
      ·
      164 reviews

      Beginner · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular pattern recognition courses

    • Collaborative Robotics in Industry: L&T EduTech
    • Prehospital care of acute stroke and patient selection for endovascular treatment using the RACE scale: Universitat de Barcelona
    • أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI: Alfaisal University | KLD
    • International Marketing Entry and Execution: Yonsei University
    • The Data Science of Health Informatics: Johns Hopkins University
    • Meaningful Predictive Modeling: University of California San Diego
    • Build a computer vision app with Azure Cognitive Services: Microsoft
    • Data Structures & Backend with Java: Board Infinity
    • 市场营销概论 (中文版): University of Pennsylvania
    • Pricing Strategy in Practice: University of Virginia

    Skills you can learn in Design And Product

    User Interface (18)
    User Experience (16)
    Software Testing (13)
    Game Design (11)
    Agile Software Development (10)
    Graphics (10)
    Virtual Reality (9)
    Design Thinking (8)
    Web (8)
    Video Game Development (7)
    Web Design (7)
    Adobe Photoshop (6)

    Frequently Asked Questions about Pattern Recognition

    Pattern recognition is the automated recognition of patterns, or repeated designs, in data. It is a part of data mining and consists of multiple mining patterns. Pattern recognition is used for data streams, software bugs, and image analysis. It is also a big part of biological and biomedical studies for patterns of behavior in patients or image analysis like an MRI.‎

    If you have a passion for data mining or want to get into a biomedical career like neuroimaging, learning about pattern recognition will help you dive deeper into pattern discovery and help you explore other areas of interest. Learning about pattern recognition will help you understand data-driven mining and other applications of pattern discovery, which is useful for interpreting real-world data and imaging.‎

    Online courses on Coursera will help you gain an understanding of various areas of data mining including pattern recognition. The instruction provides you the opportunity to learn the necessary skills to practice and progress in pattern recognition. These courses go into numerous topics, helping you learn in-depth material to propel you forward in your career or help you pursue a new area of interest. Online courses on Coursera give you the flexibility to work at any time, and they have experts ready to guide you along as you progress through the course.‎

    You can put your skills and knowledge learned about pattern recognition into a career in computer science or data analytics. With these skills, you'll be able to apply them to improving software and apps to better their performance and problem solve using various methods. You can also go into marketing analysis to understand consumers' behavior and help recognize business opportunities. Another career where pattern recognition is used is in the area of neuroscience to look at brain patterns and read different images like ones from an MRI. In this career, you will use your skills to identify where there is a mishap in the brain's function to help diagnose patients.‎

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

    When looking to enhance your workforce's skills in Pattern Recognition, 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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