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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.


More to explore:

Popular Pattern Recognition Courses and Certifications


  • 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

  • D

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics), Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    533 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    UNSW Sydney (The University of New South Wales)

    Remote Sensing Image Acquisition, Analysis and Applications

    Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Convolutional Neural Networks, Deep Learning, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    181 reviews

    Intermediate · Course · 3 - 6 Months

  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    Introduction to Financial Accounting

    Skills you'll gain: Financial Statements, Financial Statement Analysis, Accrual Accounting, Financial Accounting, Financial Reporting, Accounting, Financial Analysis, Balance Sheet, Income Statement, Cash Flows, General Ledger, Bookkeeping, Revenue Recognition, Business Metrics, Return On Investment, Depreciation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, AI Workflows, No-Code Development, Machine Learning Software, Model Deployment, Natural Language Processing, Machine Learning, Artificial Intelligence, Self Service Technologies, Application Deployment, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Robotics, Deep Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35K reviews

    Beginner · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Master AWS Rekognition: Analyze, Detect, and Automate

    Skills you'll gain: Serverless Computing, Computer Vision, Image Analysis, Amazon Web Services, AI Enablement, Amazon S3, AWS Identity and Access Management (IAM), Text Mining, Data Processing, Unstructured Data

    Intermediate · 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

  • 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

  • C

    Columbia University

    Features and Boundaries

    Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Algorithms, Linear Algebra, Machine Learning Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    54 reviews

    Beginner · 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

    IBM AI Foundations for Business

    Skills you'll gain: Responsible AI, Data Literacy, AI Enablement, Data Mining, AI Product Strategy, Generative AI, Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Natural Language Processing, Data-Driven Decision-Making, Data Architecture, Robotics, Business Logic, Leadership

    4.7
    Rating, 4.7 out of 5 stars
    ·
    99K reviews

    Beginner · Specialization · 1 - 3 Months

1…456…159

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

  • Introduction to Neural Networks: Johns Hopkins University
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Introduction to Financial Accounting: University of Pennsylvania
  • AI Foundations for Everyone: IBM
  • Master AWS Rekognition: Analyze, Detect, and Automate: EDUCBA
  • Deep Learning Applications for Computer Vision: University of Colorado Boulder
  • Mastering AI: Neural Nets, Vision System, Speech Recognition: Edureka
  • Features and Boundaries: Columbia University

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