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Pattern Recognition Courses

Pattern recognition courses can help you learn techniques for data classification, feature extraction, and image analysis. You can build skills in statistical modeling, machine learning algorithms, and neural network design. Many courses introduce tools like Python libraries such as TensorFlow and scikit-learn, which are used to implement these techniques in projects involving AI and artificial intelligence applications.


Popular Pattern Recognition Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Generative AI, PySpark, Supervised Learning, Keras (Neural Network Library), Feature Engineering, Deep Learning, Reinforcement Learning, LLM Application, Applied Machine Learning, Natural Language Processing, Tensorflow, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    D

    DeepLearning.AI

    PyTorch for Deep Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Data Quality, Generative AI, Deep Learning, MLOps (Machine Learning Operations), Data Pipelines, Application Deployment, Artificial Neural Networks, Software Visualization, Computer Vision, Dimensionality Reduction, Natural Language Processing, Machine Learning

    5
    Rating, 5 out of 5 stars
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    19 reviews

    Intermediate · Professional Certificate · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Feature Engineering

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    147K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Content Creation and Copywriting

    Skills you'll gain: Infographics, Storyboarding, Canva (Software), Prompt Engineering, Copywriting, Generative AI, Content Creation, Blogs, Marketing Psychology, Marketing Communications, Collaborative Software, ChatGPT, Marketing, Online Advertising, Graphic Design, Writing and Editing, Brand Awareness, Artificial Intelligence, Search Engine Optimization, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    763 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    GPU Programming

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Deep Learning, Software Development, C++ (Programming Language), Machine Learning Methods, Performance Tuning, C and C++, Linear Algebra, Distributed Computing, Computer Graphics, System Programming, Hardware Architecture, Computer Vision, Programming Principles, OS Process Management, Data Structures, Machine Learning

    Build toward a degree

    2.8
    Rating, 2.8 out of 5 stars
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    179 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Exploratory Data Analysis, Dimensionality Reduction, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, Computer Vision, Predictive Modeling, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Random Forest Algorithm, Classification And Regression Tree (CART), Natural Language Processing, Python Programming

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
    ·
    126 reviews

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Machine Learning Algorithms, Debugging, Artificial Intelligence, Applied Machine Learning, Image Analysis, Unsupervised Learning, Machine Learning, Machine Learning Methods, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Bayesian Statistics, Supervised Learning, Network Architecture, Markov Model

    4.2
    Rating, 4.2 out of 5 stars
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    9 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    Khalifa University

    AI for Executives

    Skills you'll gain: Data Strategy, Customer Relationship Management (CRM) Software, Data Management, AI Personalization, Sales Enablement, Feature Engineering, Data Governance, Responsible AI, Data Quality, Strategic Decision-Making, Data-Driven Decision-Making, Customer Data Management, Data Ethics, Business Intelligence, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Customer experience improvement, Machine Learning, Reinforcement Learning, Natural Language Processing

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Statistical Modeling, Artificial Intelligence, Geospatial Information and Technology, Machine Learning, Regression Analysis, Data Pipelines, Network Architecture, Network Model

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    AI in Healthcare

    Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Health Systems, Healthcare Industry Knowledge, Unstructured Data, Health Care, Health Informatics, Data Mining, Managed Care, Responsible AI, Clinical Data Management, Applied Machine Learning, Medical Billing, Electronic Medical Record, Machine Learning, Artificial Intelligence, Clinical Research Ethics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    DeepLearning.AI TensorFlow Developer

    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Applied Machine Learning, Text Mining, Machine Learning Methods, Forecasting, Data Processing, Machine Learning, Supervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • IBM AI Engineering: IBM
  • PyTorch for Deep Learning: DeepLearning.AI
  • Deep Learning: DeepLearning.AI
  • Content Creation and Copywriting: Coursera
  • GPU Programming: Johns Hopkins University
  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Foundations of Neural Networks: Johns Hopkins University
  • AI for Executives: Khalifa University
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • AI in Healthcare: Stanford 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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