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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

      LearnQuest

      Development Methodologies Overview

      Skills you'll gain: Software Development Life Cycle, CI/CD, Software Development Methodologies, Jenkins, Continuous Integration, Agile Methodology, Software Development, Cloud Development, Continuous Delivery, Agile Software Development, Cloud Computing Architecture, Cloud Applications, Software Engineering, Scrum (Software Development), Kubernetes

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Goldman Sachs

      Fundamentos de los Clientes y la Competencia con Goldman Sachs 10,000 Women

      Skills you'll gain: Growth Strategies, Competitive Analysis, Value Propositions, Business Strategies, Customer Insights, Target Market, B2B Sales, Market Opportunities, Price Negotiation, Market Intelligence, Consumer Behaviour, Business-To-Consumer

      4.9
      Rating, 4.9 out of 5 stars
      ·
      84 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Encoder-Decoder Architecture

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative AI, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      42 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Naive Bayes 101: Resume Selection with Machine Learning

      Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Pandas (Python Package), Natural Language Processing, Predictive Modeling, Machine Learning, Data Processing, Unstructured Data, Data Analysis, Machine Learning Algorithms, Data Manipulation, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • T

      Tecnológico de Monterrey

      Proceso de gestión de marca estratégico

      Skills you'll gain: Brand Strategy, Brand Management, Branding, Brand Awareness, Brand Loyalty, Marketing Communications, Customer experience strategy (CX), Strategic Marketing, Marketing Management, Performance Measurement, Consumer Behaviour, Communication Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      EIT Digital

      Basic Recommender Systems

      Skills you'll gain: Data Ethics, Usability, System Requirements, Machine Learning Algorithms, Innovation, Algorithms, Predictive Modeling, Data-Driven Decision-Making, Data Mining, Applied Machine Learning, Statistical Methods, Performance Tuning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Natural Language Processing and Capstone Assignment

      Skills you'll gain: Predictive Modeling, Natural Language Processing, Social Media, Text Mining, Cloud Computing, Unstructured Data, Big Data, Data Analysis, Trend Analysis, Geospatial Information and Technology, Machine Learning Methods, Business Intelligence, Consumer Behaviour, Internet Of Things, Deep Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      UBITS

      Innovación en el mundo corporativo

      Skills you'll gain: Innovation, Organizational Change, Change Management, Corporate Sustainability, Corporate Strategy, Business Transformation, Organizational Strategy, Business Strategies, Growth Strategies, Continuous Improvement Process, Culture Transformation, Organizational Structure, Product Development, Consumer Behaviour

      4.8
      Rating, 4.8 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 3 Months

    • E

      Edureka

      Power BI for Data Science and Analytics

      Skills you'll gain: Power BI, Business Intelligence, Data Modeling, Data Visualization Software, Data Analysis, Key Performance Indicators (KPIs), Dashboard, Data Storytelling, Text Mining, Data Science, Performance Metric, Data Cleansing, Image Analysis, Data Transformation, Data Manipulation, Natural Language Processing

      4
      Rating, 4 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      S

      Sciences Po

      Be entrepreneurial in Cultural Industries in the digital age

      Skills you'll gain: Entrepreneurship, Promotional Strategies, Business Modeling, Business Leadership, New Business Development, Strategic Thinking, Digital Content, Innovation, Business Management, Content Creation, Digital Transformation, Entrepreneurial Finance, Market Opportunities, Consumer Behaviour

      4.1
      Rating, 4.1 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Fundamentals of Natural Language Processing

      Skills you'll gain: Natural Language Processing, Text Mining, Statistical Modeling, Data Processing, Probability & Statistics, Unstructured Data, Artificial Neural Networks, Machine Learning, Supervised Learning, Algorithms, Regression Analysis

      Build toward a degree

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      I

      Institut Mines-Télécom

      Traitement d'images : analyse fréquentielle et multi-échelle

      Skills you'll gain: Image Analysis, Computer Vision, Advanced Mathematics, NumPy, Python Programming, Computer Graphics, Mathematical Modeling, Applied Mathematics

      Intermediate · Course · 1 - 4 Weeks

    Pattern Recognition learners also search

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

    • Development Methodologies Overview: LearnQuest
    • Fundamentos de los Clientes y la Competencia con Goldman Sachs 10,000 Women: Goldman Sachs
    • Encoder-Decoder Architecture: Google Cloud
    • Naive Bayes 101: Resume Selection with Machine Learning: Coursera Project Network
    • Proceso de gestión de marca estratégico: Tecnológico de Monterrey
    • Basic Recommender Systems: EIT Digital
    • Natural Language Processing and Capstone Assignment: University of California, Irvine
    • Innovación en el mundo corporativo: UBITS
    • Power BI for Data Science and Analytics: Edureka
    • Be entrepreneurial in Cultural Industries in the digital age: Sciences Po

    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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