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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
    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, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, LLM Application, Generative AI, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    81K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Image Processing for Engineering and Science

    Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Traffic Flow Optimization, Automation, Digital Signal Processing, Anomaly Detection, Spatial Data Analysis, Geospatial Information and Technology, Medical Imaging, Spatial Analysis, Data Preprocessing, Quantitative Research, Algorithms, Data Store

    4.7
    Rating, 4.7 out of 5 stars
    ·
    251 reviews

    Beginner · Specialization · 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, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Hugging Face, Natural Language Processing, Artificial Neural Networks, Tensorflow, Embeddings, Supervised Learning, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    147K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    328 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Implement Real-Time Face Detection with OpenCV & Python

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Build Real-Time Face Recognition with OpenCV

    Skills you'll gain: System Design and Implementation, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Object Detection

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Matlab, Data Preprocessing, Data Visualization, Transfer Learning, Applied Machine Learning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Beginner · 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, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Process Images & Extract Motion Features

    Skills you'll gain: Data Preprocessing, Computer Vision, Image Analysis, Real Time Data, Convolutional Neural Networks, Data Transformation, NumPy

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Face Recognition with Keras: Detect & Classify

    Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Tensorflow, Data Preprocessing, Deep Learning, Embeddings, Model Deployment, Applied Machine Learning, Python Programming, Supervised Learning, NumPy, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

1234…161

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

  • Deep Learning for Computer Vision: MathWorks
  • IBM AI Developer: IBM
  • Image Processing for Engineering and Science: MathWorks
  • Foundations of Machine Learning: Coursera
  • Deep Learning: DeepLearning.AI
  • Machine Learning for Data Analysis: Wesleyan University
  • Implement Real-Time Face Detection with OpenCV & Python: EDUCBA
  • Build Real-Time Face Recognition with OpenCV: EDUCBA
  • Deep Learning for Object Detection: MathWorks
  • Introduction to Deep Learning for Computer Vision: MathWorks

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