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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
    S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Visual Perception for Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Artificial Neural Networks, Robotics, Machine Learning Algorithms, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    583 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Automating Image Processing

    Skills you'll gain: Image Analysis, Matlab, Computer Vision, Traffic Flow Optimization, Automation, Anomaly Detection, Data Preprocessing, Data Store

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    W

    Whizlabs

    Exam Prep AIF-C01: AWS Certified AI Practitioner

    Skills you'll gain: Amazon Bedrock, Prompt Engineering, Responsible AI, AI Security, Generative AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, AWS Identity and Access Management (IAM), Amazon S3, Model Deployment, Model Evaluation, Natural Language Processing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Edureka

    Power BI Connectivity, AI Integration & Reporting

    Skills you'll gain: Responsible AI, Power BI, Microsoft Azure, Microsoft Copilot, Business Intelligence, Data Architecture, Business Reporting, AI Personalization, Pandas (Python Package), Python Programming, Predictive Modeling, Generative AI, Matplotlib, Data Wrangling, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation, Data Visualization, Data Governance, R Programming, Continuous Deployment

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U
    I
    I

    Multiple educators

    Data Science Foundations

    Skills you'll gain: Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, Data Import/Export, Programming Principles, Predictive Modeling, Data Science, Unsupervised Learning, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    117K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Clustering Analysis

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Applied Machine Learning, Machine Learning, Data Mining, Model Evaluation, Machine Learning Algorithms, Statistical Machine Learning, Exploratory Data Analysis, Data Analysis, Spatial Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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

  • Status: Free Trial
    Free Trial
    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

  • Status: Preview
    Preview
    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, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

1…678…149

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

  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Visual Perception for Self-Driving Cars: University of Toronto
  • Automating Image Processing: MathWorks
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Exam Prep AIF-C01: AWS Certified AI Practitioner: Whizlabs
  • Deep Learning for Computer Vision: University of Colorado Boulder
  • Power BI Connectivity, AI Integration & Reporting: Edureka
  • Data Science Foundations: University of London
  • Clustering Analysis: University of Colorado Boulder
  • Features and Boundaries: Columbia University

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