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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
    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Skillshare

    Surface Pattern Design: Principles, Drawing and Collections

    Skills you'll gain: Adobe Photoshop, Journals, Design Thinking, Layout Design, Software Design Patterns, Creative Design, Design Elements And Principles, Graphic and Visual Design Software, Creativity, Design Strategies, Graphic and Visual Design, Design, Digital Design

    Beginner · Specialization · 1 - 3 Months

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

    Coursera

    Process Images & Extract Motion Features

    Skills you'll gain: Data Preprocessing, Computer Vision, Image Analysis, Real Time Data, Convolutional Neural Networks, Data Transformation, NumPy

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Neural Networks and Computer Vision Foundations

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Computer Vision for Engineering and Science

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Machine Learning Methods, Matlab, Transfer Learning, Geospatial Information and Technology, Traffic Flow Optimization, Medical Imaging, Estimation, Artificial Intelligence and Machine Learning (AI/ML), Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    96 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Object Detection

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Matlab, Data Preprocessing, Data Visualization, Transfer Learning, Applied Machine Learning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, LLM Application, Generative AI, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    81K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Build Real-Time Face Recognition with OpenCV

    Skills you'll gain: System Design and Implementation, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Data Analysts

    Skills you'll gain: Generative AI, Data Analysis, Advanced Analytics, Analytics, AI Product Strategy, Data Transformation, Predictive Analytics, Data Preprocessing, Machine Learning Algorithms, Responsible AI

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Analyze Fraud Using Data Analytics and R

    Skills you'll gain: Fraud detection, Anomaly Detection, R Programming, Credit Risk, Applied Machine Learning, Analytical Skills, Machine Learning Methods, Threat Detection, Unsupervised Learning, Risk Analysis, Advanced Analytics, Analytics, Predictive Analytics, Data-Driven Decision-Making, Supervised Learning, Big Data

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Supervised Learning, Algorithms, Statistical Methods, Linear Algebra, Probability

    4.1
    Rating, 4.1 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Deep Learning for Computer Vision: MathWorks
  • Surface Pattern Design: Principles, Drawing and Collections: Skillshare
  • Process Images & Extract Motion Features: Coursera
  • Neural Networks and Computer Vision Foundations: Edureka
  • Computer Vision for Engineering and Science: MathWorks
  • Deep Learning for Object Detection: MathWorks
  • IBM AI Developer: IBM
  • Introduction to Deep Learning for Computer Vision: MathWorks
  • Build Real-Time Face Recognition with OpenCV: EDUCBA
  • GenAI for Data Analysts: Coursera

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Web Design (7)
Adobe Photoshop (6)

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