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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


  • 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

  • U

    University of Colorado Boulder

    Clustering Analysis

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning, Data Mining, Model Evaluation, Machine Learning Algorithms, Exploratory Data Analysis, Data Analysis, Spatial Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Implement Hand Gesture Recognition with OpenCV

    Skills you'll gain: Program Development, Debugging

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Image Analysis, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • E

    Edureka

    Mastering AI: Neural Nets, Vision System, Speech Recognition

    Skills you'll gain: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Machine Learning, Seaborn, Applied Machine Learning, Digital Signal Processing, Statistical Inference

    3.6
    Rating, 3.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Model Deployment, Data Ethics, Data Preprocessing, Machine Learning, Computer Programming, Model Evaluation, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    162 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Face Recognition with Keras: Detect & Classify

    Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Tensorflow, Data Preprocessing, Deep Learning, Embeddings, Model Deployment, Applied Machine Learning, Python Programming, Supervised Learning, NumPy, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

  • C

    Columbia University

    Visual Perception

    Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Machine Learning Methods, Unsupervised Learning, Deep Learning, Graph Theory, Machine Learning Algorithms, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

  • M

    MathWorks

    Automating Image Processing

    Skills you'll gain: Image Analysis, Matlab, Computer Vision, Traffic Flow Optimization, Automation, Anomaly Detection, Data Preprocessing, Data Store

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Deep Learning Applications for Computer Vision

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

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 3 Months

  • M

    MathWorks

    Introduction to Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Matlab, Geospatial Information and Technology, Medical Imaging, Estimation, Artificial Intelligence and Machine Learning (AI/ML), Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    58 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

1…456…158

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

  • Surface Pattern Design: Principles, Drawing and Collections: Skillshare
  • Clustering Analysis: University of Colorado Boulder
  • Implement Hand Gesture Recognition with OpenCV: EDUCBA
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Mastering AI: Neural Nets, Vision System, Speech Recognition: Edureka
  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Face Recognition with Keras: Detect & Classify: EDUCBA
  • Visual Perception: Columbia University
  • Automating Image Processing: MathWorks
  • Deep Learning Applications for Computer Vision: University of Colorado Boulder

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