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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


  • U

    University of Michigan

    Critical Thinking and Decision Science

    Skills you'll gain: Computational Thinking, Logical Reasoning, Critical Thinking, Data Analysis, Deductive Reasoning, Mathematical Modeling, Analytical Skills, Analysis, Experimentation, Mathematics and Mathematical Modeling, Critical Thinking and Problem Solving, Data Literacy, Systems Thinking, Statistical Methods, Simulations, Predictive Modeling, Programming Principles, Decision Making, Statistical Inference, Prompt Engineering

    ★ 4.7 (5K) · Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    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, Model Training, Fine-tuning, Deep Learning, Generative AI, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing, Matlab, Software Visualization, Classification Algorithms, Model Optimization, Predictive Modeling, Performance Tuning

    ★ 4.9 (36) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • K

    Khalifa University

    Deep Learning for Computer Vision: Techniques & Applications

    Skills you'll gain: Generative AI, Computer Vision, PyTorch (Machine Learning Library), Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Image Analysis, Fine-tuning, Artificial Neural Networks, Model Training, Applied Machine Learning, Model Evaluation, Deep Learning, Transfer Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Artificial Intelligence

    Intermediate · Course

    Category: New
    New
  • M

    MathWorks

    Computer Vision for Engineering and Science

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Model Training, Deep Learning, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Machine Learning Algorithms, Transfer Learning, Anomaly Detection, Geospatial Information and Technology, Traffic Flow Optimization, Artificial Intelligence and Machine Learning (AI/ML), Algorithms

    ★ 4.6 (99) · Intermediate · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • M

    MathWorks

    Automating Image Processing

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

    ★ 4.7 (28) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • M

    MathWorks

    Introduction to Computer Vision

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

    ★ 4.6 (60) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Eyes on AI - Computer Vision Engineering

    Skills you'll gain: Model Evaluation, Model Optimization, Transfer Learning, PyTorch (Machine Learning Library), Fine-tuning, Model Deployment, Data Preprocessing, Technical Communication, MLOps (Machine Learning Operations), Model Training, Image Analysis, Computer Vision, AI Workflows, Tensorflow, Dataflow, Image Quality, Application Deployment, Technical Documentation, Deep Learning, Process Optimization

    Intermediate · Professional Certificate · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
  • M

    MathWorks

    Image Processing for Engineering and Science

    Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, File I/O, Automation, Digital Signal Processing, Anomaly Detection, Spatial Data Analysis, Geospatial Information and Technology, Engineering Practices, Medical Imaging, Spatial Analysis, Mathematical Software, Data Preprocessing, File Management, Quantitative Research, Graphical Tools, Color Theory, Algorithms

    ★ 4.7 (261) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Methods, Model Training, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Algorithms

    ★ 4.2 (10) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Data Wrangling, Predictive Analytics, Forecasting, Data Processing, Anomaly Detection

    ★ 4.2 (17) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • U

    University of Colorado Boulder

    Introduction to Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Machine Learning Methods, Data Ethics, Microsoft Excel, Generative AI, Excel Formulas, Responsible AI, Data Transformation, Linear Algebra, Feature Engineering, Digital Signal Processing

    ★ 4.6 (43) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Image Quality, Model Training, Fine-tuning, Classification Algorithms, Machine Learning Algorithms, Deep Learning, Model Optimization, Network Architecture

    ★ 4.3 (1.4K) · Intermediate · Course · 1 - 3 Months

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

  • Critical Thinking and Decision Science: University of Michigan
  • Deep Learning for Computer Vision: MathWorks
  • Deep Learning for Computer Vision: Techniques & Applications: Khalifa University
  • Computer Vision for Engineering and Science: MathWorks
  • Automating Image Processing: MathWorks
  • Introduction to Computer Vision: MathWorks
  • Eyes on AI - Computer Vision Engineering: Coursera
  • Image Processing for Engineering and Science: MathWorks
  • Introduction to Neural Networks: Johns Hopkins University
  • Foundations of Machine Learning: Coursera

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