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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
    V

    Vanderbilt University

    Introduction to Data, Signal, and Image Analysis with MATLAB

    Skills you'll gain: Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Dimensionality Reduction, Digital Signal Processing, Data Analysis, Data Processing, Mathematical Software, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    235 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    UNSW Sydney (The University of New South Wales)

    Remote Sensing Image Acquisition, Analysis and Applications

    Skills you'll gain: Image Analysis, Applied Machine Learning, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Image Quality, Feature Engineering, Statistical Machine Learning, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Classification Algorithms, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    183 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Raster Processing & Remote Sensing

    Skills you'll gain: Geospatial Information and Technology, Environmental Monitoring, Spatial Data Analysis, Model Evaluation, Geographic Information Systems, GIS Software, Data Processing, Spatial Analysis, Image Analysis, Environmental Science, Data Analysis, Data Transformation, Verification And Validation, Technical Communication

    Beginner · Course · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of California San Diego

    Linux Tools for Text Processing

    Skills you'll gain: grep, Linux Commands, Linux, Unix Commands, Shell Script, Unix Shell, Linux Administration, Data Processing, Text Mining, Command-Line Interface, Data Manipulation, Unix, Automation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Training, Unsupervised Learning, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Model Optimization, Machine Learning Methods, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    465 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Satellite Remote Sensing Data Bootcamp With Opensource Tools

    Skills you'll gain: Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Applied Machine Learning, Geographic Information Systems, GIS Software, Spatial Analysis, Environmental Monitoring, Machine Learning Methods, Unsupervised Learning, Data Analysis Software, Image Analysis, Machine Learning, R Programming, Data Processing, Data Preprocessing, Classification Algorithms, Data Transformation, Dimensionality Reduction, Data Import/Export

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Model Training, Machine Learning Methods, Feature Engineering, Supervised Learning, Machine Learning Software, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Vision Models: Train and Evaluate

    Skills you'll gain: Model Training, Failure Analysis, Deep Learning, AI Workflows, Applied Machine Learning, Data Pipelines, Performance Metric, Scripting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Probability & Statistics, Statistical Methods, Classification Algorithms, Calculus

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Data Science, Data Manipulation, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
  • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
  • Raster Processing & Remote Sensing: Coursera
  • Linux Tools for Text Processing: University of California San Diego
  • Build Regression, Classification, and Clustering Models: CertNexus
  • Supervised Machine Learning: Classification: IBM
  • Satellite Remote Sensing Data Bootcamp With Opensource Tools: Packt
  • Practical Machine Learning: Johns Hopkins University
  • Vision Models: Train and Evaluate: Coursera
  • Foundations for Machine Learning: Dartmouth College

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