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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


  • N

    Northeastern University

    Machine Learning and Data Analytics Part 1

    Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation

    Intermediate · Course · 1 - 3 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

  • U

    University at Buffalo

    Computer Vision Basics

    Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Color Theory, Digital Signal Processing, Applied Mathematics, Artificial Intelligence, Computer Programming, Matlab, Augmented Reality, Algorithms, Calculus, Probability & Statistics

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Mask Detector with Python & TensorFlow: Build & Deploy

    Skills you'll gain: Image Analysis, Cloud Deployment, Tensorflow, Amazon Web Services, Convolutional Neural Networks, Model Deployment, Application Development, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Data Preprocessing

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Responsible AI, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Computing, Cloud Storage, Generative AI, Infrastructure As A Service (IaaS), Big Data, Data Analysis, Data Science, Natural Language Processing, Robotics, Business Logic, Business

    4.7
    Rating, 4.7 out of 5 stars
    ·
    106K reviews

    Beginner · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Implement Hand Gesture Recognition with OpenCV

    Skills you'll gain: Program Development, Debugging

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Association Rules Analysis

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 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

  • C

    Coursera

    Facial Expression Recognition with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Computer Vision, Model Evaluation, Data Preprocessing, Classification Algorithms

    3.9
    Rating, 3.9 out of 5 stars
    ·
    60 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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, Development Environment, Deep Learning, Software Installation, Algorithms

    Beginner · Course · 3 - 6 Months

  • N

    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

1…678…162

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

  • Machine Learning and Data Analytics Part 1: Northeastern University
  • Features and Boundaries: Columbia University
  • Computer Vision Basics: University at Buffalo
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Mask Detector with Python & TensorFlow: Build & Deploy: EDUCBA
  • Key Technologies for Business: IBM
  • Implement Hand Gesture Recognition with OpenCV: EDUCBA
  • Association Rules Analysis: University of Colorado Boulder
  • Master AWS Rekognition: Analyze, Detect, and Automate: EDUCBA
  • Facial Expression Recognition with PyTorch : Coursera

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