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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

    • U

      University of Illinois Urbana-Champaign

      Machine Learning Algorithms with R in Business Analytics

      Skills you'll gain: Regression Analysis, R Programming, Exploratory Data Analysis, Business Analytics, Statistical Analysis, Predictive Analytics, Unsupervised Learning, Machine Learning, Data Analysis, Classification And Regression Tree (CART), Data Mining, Supervised Learning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Market Research and Analysis for Tech Industries

      Skills you'll gain: Consumer Behaviour, Market Research, Marketing Analytics, Marketing Psychology, Strategic Marketing, Marketing, Market Analysis, Data-Driven Decision-Making, Behavioral Economics, Customer Insights, Business-To-Consumer, Technology Strategies, B2B Sales, Product Lifecycle Management

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Creational Design Patterns in Modern C++

      Skills you'll gain: Software Design Patterns, Software Design, C++ (Programming Language), Software Architecture, Maintainability, Programming Principles, Object Oriented Programming (OOP), Prototyping

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Generative AI and Symbolic Reasoning

      Skills you'll gain: Generative AI, Large Language Modeling, ChatGPT, OpenAI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Western Australia

      Diversity and Inclusion: Developing A Strategy

      Skills you'll gain: Workforce Planning, Recruitment Strategies, Diversity and Inclusion, Human Resource Strategy, Talent Sourcing, Diversity Awareness, Organizational Effectiveness, Talent Acquisition, Job Analysis

      3.9
      Rating, 3.9 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Building and Training Neural Networks with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Designing data-intensive applications

      Skills you'll gain: Data Mining, Database Design, Scalability, Database Systems, Relational Databases, Unstructured Data, Transaction Processing, Databases, Systems Design, Big Data, Data Architecture, Data Storage Technologies, NoSQL, Data Processing, Maintainability, SQL, Apache Hadoop

      4.2
      Rating, 4.2 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Object Localization

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Applied Machine Learning, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      43 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Mercadotecnia en un mundo digital

      Skills you'll gain: MarTech, Marketing Channel, Digital Transformation, Marketing Strategies, Digital Marketing, Customer Advocacy, Promotional Strategies, New Product Development, Price Negotiation, Consumer Behaviour, Innovation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      66 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Interpretable Machine Learning

      Skills you'll gain: Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Machine Learning, Applied Machine Learning, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Deep Learning - Computer Vision for Beginners Using PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, Matplotlib, Python Programming, Deep Learning, Pandas (Python Package), NumPy, Jupyter, Data Manipulation, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Customer Insights: Quantitative Techniques

      Skills you'll gain: New Product Development, Product Development, Design Thinking, Market Research, Quantitative Research, Product Management, Customer Insights, Consumer Behaviour, Market Analysis, Target Market, Forecasting, Innovation, Needs Assessment, Analysis, Data Collection, Technology Solutions

      3.7
      Rating, 3.7 out of 5 stars
      ·
      32 reviews

      Mixed · Course · 1 - 3 Months

    Pattern Recognition learners also search

    Vision
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    Image Analysis
    Beginner Computer Vision
    Computer Vision Projects
    Advanced Computer Vision
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    1…666768…124

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

    • Machine Learning Algorithms with R in Business Analytics: University of Illinois Urbana-Champaign
    • Market Research and Analysis for Tech Industries: University of Colorado Boulder
    • Creational Design Patterns in Modern C++: Packt
    • Generative AI and Symbolic Reasoning: Johns Hopkins University
    • Diversity and Inclusion: Developing A Strategy: University of Western Australia
    • Building and Training Neural Networks with PyTorch: Packt
    • Designing data-intensive applications: Universidad Nacional Autónoma de México
    • Deep Learning with PyTorch : Object Localization: Coursera Project Network
    • Mercadotecnia en un mundo digital: University of Illinois Urbana-Champaign
    • Interpretable Machine Learning: Duke University

    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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