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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

      Universidades Anáhuac

      Productividad Empresarial con IA: ChatGPT

      Skills you'll gain: ChatGPT, Generative AI, Large Language Modeling, Prompt Engineering, Business Process Automation, Productivity Software, Safety Assurance, Artificial Intelligence, Trend Analysis, Automation, Data-Driven Decision-Making, Natural Language Processing, Content Creation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universitat Autònoma de Barcelona

      Kit básico (para evitar los errores más frecuentes) de finanzas

      Skills you'll gain: Risk Management, Behavioral Economics, Loans, Financial Planning, Finance, Budgeting, Wealth Management, Consumer Behaviour, Human Capital, Psychology, Safety and Security, Decision Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143 reviews

      Beginner · Course · 1 - 3 Months

    • I

      Intel

      An Introduction to Practical Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Machine Learning Methods, Generative AI, Applied Machine Learning, Natural Language Processing, Scalability, Artificial Intelligence, Reinforcement Learning, Performance Tuning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 3 Months

    • O

      O.P. Jindal Global University

      Supervised Learning and Its Applications in Marketing

      Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Retention, Applied Machine Learning, Predictive Analytics, Scikit Learn (Machine Learning Library), Marketing Strategies, Customer Insights, Machine Learning, Python Programming, Regression Analysis, Personalized Service, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      GenAI Basics - How LLMs Work

      Skills you'll gain: Large Language Modeling, Generative AI, Natural Language Processing, Machine Learning, Artificial Intelligence, Data Processing, Data Science, Data Modeling

      3.9
      Rating, 3.9 out of 5 stars
      ·
      24 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      Universidade de São Paulo

      Laboratório de Programação Orientada a Objetos - Parte 1

      Skills you'll gain: Model View Controller, Unified Modeling Language, Object Oriented Programming (OOP), Software Design Patterns, Software Design, Java Programming, Computer Programming, Debugging, Software Architecture, Programming Principles, Other Programming Languages, Prototyping

      4.8
      Rating, 4.8 out of 5 stars
      ·
      181 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      SkillUp EdTech

      Generative AI: Elevate your Business Intelligence Career

      Skills you'll gain: Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Dashboard, Generative AI, Data Storytelling, Artificial Intelligence, Prompt Engineering, SQL, Data Analysis, Business Ethics, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Supply Chain of Agriculture

      Skills you'll gain: Land Management, Supply Chain, Food and Beverage, Transportation, Supply Chain, and Logistics, Supply Chain Management, Production Process, Water Resources, Supply And Demand, Production Management, Environment and Resource Management, Market Dynamics, Economics, Consumer Behaviour, Emerging Technologies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Customising your models with TensorFlow 2

      Skills you'll gain: Tensorflow, Data Pipelines, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Data Processing, Artificial Neural Networks, Time Series Analysis and Forecasting, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      191 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Marketing Strategy for Engineers and Technologists

      Skills you'll gain: Value Propositions, Market Research, Social Media Marketing, Social Media Strategy, Search Engine Optimization, Competitive Analysis, Customer Relationship Management, Digital Media Strategy, Data-Driven Decision-Making, Consumer Behaviour, Web Analytics and SEO, Marketing Psychology, Business Modeling, Operations Management, Technical Management, Executive Presence, Business Communication, Customer Retention, Market Analysis, Marketing Planning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Beginner · Specialization · 3 - 6 Months

    • E

      Emory University

      Introduction to Social Media Analytics

      Skills you'll gain: Social Media Marketing, Social Media, Marketing Analytics, Text Mining, Consumer Behaviour, Data Mining, Customer Insights, Market Analysis, Data Analysis Software, Trend Analysis, Research

      4.3
      Rating, 4.3 out of 5 stars
      ·
      108 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Siamese Network

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Advanced · Guided Project · Less Than 2 Hours

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

    • Productividad Empresarial con IA: ChatGPT: Universidades Anáhuac
    • Kit básico (para evitar los errores más frecuentes) de finanzas: Universitat Autònoma de Barcelona
    • An Introduction to Practical Deep Learning: Intel
    • Supervised Learning and Its Applications in Marketing: O.P. Jindal Global University
    • GenAI Basics - How LLMs Work: Duke University
    • Laboratório de Programação Orientada a Objetos - Parte 1: Universidade de São Paulo
    • Generative AI: Elevate your Business Intelligence Career: SkillUp EdTech
    • Supply Chain of Agriculture: University of Illinois Urbana-Champaign
    • Customising your models with TensorFlow 2: Imperial College London
    • Marketing Strategy for Engineers and Technologists: University of Colorado Boulder

    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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