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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
    D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Embeddings, Model Training, Network Architecture

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · 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, Visual Storytelling, Digital Design, Graphics Software, Aesthetics, Editing, File Management

    Beginner · 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, 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
    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
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 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
    Rating, 4.2 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    AI Applications: Computer Vision and Speech Recognition

    Skills you'll gain: Computer Vision, Applied Machine Learning, Digital Signal Processing

    Intermediate · Course · 1 - 4 Weeks

  • 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, Model Training, Fine-tuning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Tarot Reading for Clients and Career

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Software Development Life Cycle, Retrieval-Augmented Generation, Large Language Modeling, Software Architecture, Computer Vision, LangChain, Responsive Web Design, Generative AI, Responsible AI, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Software Development, Machine Learning, Data Science

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    82K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    W

    Whizlabs

    Exam Prep AIF-C01: AWS Certified AI Practitioner

    Skills you'll gain: Amazon Bedrock, Prompt Engineering, Responsible AI, Prompt Patterns, Generative Model Architectures, AI Security, Generative AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Artificial Intelligence, Machine Learning, Model Evaluation, Natural Language Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modern AI Models for Vision and Multimodal Understanding

    Skills you'll gain: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Generative Model Architectures, Embeddings, Digital Signal Processing, Transfer Learning, Machine Learning Methods, Classification Algorithms

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    33 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • Convolutional Neural Networks: DeepLearning.AI
  • Surface Pattern Design: Principles, Drawing and Collections: Skillshare
  • Automating Image Processing: MathWorks
  • Introduction to Image Processing: MathWorks
  • Machine Learning: Classification: University of Washington
  • Introduction to Neural Networks: Johns Hopkins University
  • AI Applications: Computer Vision and Speech Recognition: Edureka
  • Introduction to Deep Learning for Computer Vision: MathWorks
  • Tarot Reading for Clients and Career: EDUCBA
  • IBM AI Developer: IBM

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