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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

    • Status: Free
      Free
      G

      Google Cloud

      Create Image Captioning Models - Português Brasileiro

      Skills you'll gain: Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Create Image Captioning Models - Bahasa Indonesia

      Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Applied Machine Learning, Computer Vision

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Encoder-Decoder Architecture - 繁體中文

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Natural Language Processing, Deep Learning, Text Mining, Machine Learning

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Applying Machine Learning to Your Data with GC - Français

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Predictive Modeling, Test Data, Deep Learning, Data Processing, Image Analysis, Application Programming Interface (API), Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Attention Mechanism - בעברית

      Skills you'll gain: Machine Learning Methods, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • T

      Tecnológico de Monterrey

      Gestão estratégica de marcas

      Skills you'll gain: Brand Management, Brand Strategy, Branding, Brand Awareness, Brand Loyalty, Marketing Communications, Strategic Marketing, Organizational Strategy, Performance Measurement, Customer Retention, Marketing Strategies, Communication Strategies, Key Performance Indicators (KPIs), Consumer Behaviour

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Create Image Captioning Models - Italiano

      Skills you'll gain: Image Analysis, Deep Learning, Data Modeling, Computer Vision, Artificial Neural Networks

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Create Image Captioning Models - בעברית

      Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Attention Mechanism - 日本語版

      Skills you'll gain: Machine Learning Methods, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Text Mining, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Create Image Captioning Models - 日本語版

      Skills you'll gain: Generative AI, Image Analysis, Deep Learning, PyTorch (Machine Learning Library), Keras (Neural Network Library), Computer Vision, Tensorflow

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Laravel From Scratch

      Skills you'll gain: Application Deployment, Authentications, Object-Relational Mapping, Model View Controller, Database Management, PHP (Scripting Language), Authorization (Computing), Secure Coding, PostgreSQL, UI Components, Full-Stack Web Development, Databases, Web Applications, Development Environment, Cascading Style Sheets (CSS)

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Intro to AngularJS

      Skills you'll gain: Ajax, JavaScript Frameworks, Model View Controller, Javascript, UI Components, Web Applications, HTML and CSS, Event-Driven Programming, Restful API, API Design, Data Validation

      Intermediate · Course · 1 - 4 Weeks

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

    • Create Image Captioning Models - Português Brasileiro: Google Cloud
    • Create Image Captioning Models - Bahasa Indonesia: Google Cloud
    • Encoder-Decoder Architecture - 繁體中文: Google Cloud
    • Applying Machine Learning to Your Data with GC - Français: Google Cloud
    • Attention Mechanism - בעברית: Google Cloud
    • Gestão estratégica de marcas: Tecnológico de Monterrey
    • Create Image Captioning Models - Italiano: Google Cloud
    • Create Image Captioning Models - בעברית: Google Cloud
    • Attention Mechanism - 日本語版: Google Cloud
    • Create Image Captioning Models - 日本語版: Google Cloud

    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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