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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: Preview
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    N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Classification Algorithms, Autoencoders, Predictive Modeling, Model Optimization

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Camera and Imaging

    Skills you'll gain: Image Quality, Image Analysis, Computer Vision, Photography, Color Theory, Digital Signal Processing, Semiconductors, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    162 reviews

    Beginner · Course · 1 - 3 Months

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    W

    Whizlabs

    Exam Prep AIF-C01: AWS Certified AI Practitioner

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

    4.3
    Rating, 4.3 out of 5 stars
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    16 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Model Training, Matlab, Generative AI, Deep Learning, Model Evaluation, Data Preprocessing, Interoperability

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 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, 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
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    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Logical & Analytical Reasoning — Exam & Recruitment Prep

    Skills you'll gain: Critical Thinking and Problem Solving, Logical Reasoning, Analytical Skills, Deductive Reasoning, Critical Thinking, Problem Solving, Complex Problem Solving, Computational Logic, Applied Mathematics, Combinatorics, Geometry, Arithmetic

    3
    Rating, 3 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • 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: New
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    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Technical Analysis: Fibonacci and Trading Signals

    Skills you'll gain: Technical Analysis, Market Trend, Financial Trading, Market Data, Trend Analysis, Market Dynamics, Financial Market, Securities Trading, Market Opportunities, Market Analysis, Financial Forecasting, Analysis, Course Development, Probability

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master AWS Rekognition: Analyze, Detect, and Automate

    Skills you'll gain: Serverless Computing, Computer Vision, Image Analysis, Amazon Web Services, AI Integrations, Cloud API, Cloud Applications, Unstructured Data

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Deep Learning, Model Deployment, Data Ethics, Responsible AI, Model Training, Machine Learning, Computer Programming, Classification Algorithms, Model Evaluation, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
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    166 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University at Buffalo

    Computer Vision Basics

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

    4.2
    Rating, 4.2 out of 5 stars
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    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    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, Analytics, Machine Learning Methods, Predictive Modeling, Data Science, Statistical Modeling, Data Processing, Statistical Analysis, Performance Analysis, Data Preprocessing, Case Studies, Performance Measurement, Applied Machine Learning

    Intermediate · Course · 1 - 3 Months

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

  • Statistical Learning for Engineering Part 2: Northeastern University
  • Camera and Imaging: Columbia University
  • Exam Prep AIF-C01: AWS Certified AI Practitioner: Whizlabs
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Logical & Analytical Reasoning — Exam & Recruitment Prep: Board Infinity
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Technical Analysis: Fibonacci and Trading Signals: EDUCBA
  • Master AWS Rekognition: Analyze, Detect, and Automate: EDUCBA
  • Computer Vision with Embedded Machine Learning: Edge Impulse

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