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  • Pattern Recognition

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
    S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Skillshare

    Surface Pattern Design: Principles, Drawing and Collections

    Skills you'll gain: Adobe Photoshop, Design Software, Journals, Software Design Patterns, Creative Design, Graphic and Visual Design, Design Elements And Principles, Creativity, Design Strategies, Design, Graphics Software, Visual Storytelling, Graphic Design, Digital Design, Editing, File Management

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    MathWorks

    Automating Image Processing

    Skills you'll gain: Image Analysis, Matlab, Computer Vision, File I/O, Automation, Anomaly Detection, Engineering Practices, Data Preprocessing, Mathematical Software, Data Store

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    100 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    IBM

    IBM DevOps, Cloud, and Agile Foundations

    Skills you'll gain: User Story, Cloud Infrastructure, Cloud Platforms, Agile Software Development, Scrum (Software Development), Agile Methodology, Cloud Computing, Cloud Computing Architecture, Kanban Principles, DevOps, Backlogs, Cloud Services, Cloud Development, Cloud Deployment, Sprint Retrospectives, Cloud Security, Cloud-Native Computing, Devops Tools, Continuous Integration, CI/CD

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Image Processing

    Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Spatial Data Analysis, Environmental Monitoring, Quantitative Research, Graphical Tools, Mathematical Software, File Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    213 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Deep Learning, Model Deployment, Data Ethics, Responsible AI, Model Training, Machine Learning, Computer Programming, Classification Algorithms, Model Evaluation, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    168 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Fine-tuning, Applied Machine Learning, Model Training, Deep Learning, Model Optimization, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics)

    4.7
    Rating, 4.7 out of 5 stars
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    534 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Edureka

    Neural Networks and Computer Vision Foundations

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM IT Scrum Master

    Skills you'll gain: User Story, Software Development Life Cycle, Software Architecture, Sprint Retrospectives, Agile Software Development, Kanban Principles, DevOps, Backlogs, Full-Stack Web Development, Software Design, Risk Analysis, Scrum (Software Development), Information Technology, Computer Hardware, Agile Methodology, Agile Project Management, Team Building, Risk Management, Leadership, Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Surface Pattern Design: Principles, Drawing and Collections: Skillshare
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Automating Image Processing: MathWorks
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • IBM DevOps, Cloud, and Agile Foundations: IBM
  • Introduction to Image Processing: MathWorks
  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Neural Networks and Computer Vision Foundations: Edureka

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