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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


  • P

    Packt

    Computer Vision: Face Recognition Quick Starter in Python

    Skills you'll gain: Computer Vision, Python Programming, Image Analysis, Real Time Data, Classification Algorithms, Visualization (Computer Graphics), Model Optimization, Development Environment, Software Installation, Package and Software Management, Algorithms

    Beginner · Course · 3 - 6 Months

  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Model Optimization, Python Programming, Data Manipulation, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Data Cleansing, Jupyter, Data Literacy, Data Mining, Data Manipulation, Data Preprocessing, Data Wrangling, R (Software), Business Analysis, Model Deployment, Database Management, Relational Databases, Stored Procedure, R Programming, Data Science, Data Processing, Big Data, Computer Programming Tools, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    102K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning Algorithms, Data Processing, Model Training, Model Optimization, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Machine Learning Software, Data Integration, Data Transformation, Classification Algorithms, Regression Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    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, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Skillshare

    Watch Me Design a Pattern Collection: Creative Struggles

    Skills you'll gain: Adobe Photoshop, Journals, Creative Design, Creativity, Design Strategies, Design, Design Software, Graphic and Visual Design, Design Elements And Principles, Graphics Software, Visual Storytelling, File Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Association Rules Analysis

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Data Preprocessing, Machine Learning Methods, Data Mining, Applied Machine Learning, Feature Engineering, Data Analysis, Correlation Analysis, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Evaluate Vision Errors: Identify Failure Patterns

    Skills you'll gain: Image Analysis, Computer Vision, Model Evaluation, Analysis, Failure Mode And Effects Analysis, Root Cause Analysis, Scientific Visualization, Data Visualization, Correlation Analysis, Quality Assurance, Statistical Reporting

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Model Optimization, Python Programming, Model Training, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Use Python Regular Expressions to Process File Data

    Skills you'll gain: File I/O, Test Data, Test Case, Data Validation, Test Script Development, Verification And Validation, Data Cleansing, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Optical Character Recognition (OCR) with Document AI (Python)

    Skills you'll gain: Authentications, Cloud API, Google Cloud Platform, Document Management, AI Enablement, Real Time Data, Unstructured Data

    Intermediate · Project · Less Than 2 Hours

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

  • Computer Vision: Face Recognition Quick Starter in Python: Packt
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • Introduction to Data Science: IBM
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Watch Me Design a Pattern Collection: Creative Struggles: Skillshare
  • Association Rules Analysis: University of Colorado Boulder
  • Evaluate Vision Errors: Identify Failure Patterns: Coursera
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Tweet Emotion Recognition with TensorFlow: Coursera

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