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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
    I

    IBM

    IBM IT Scrum Master

    Skills you'll gain: User Story, Software Development Life Cycle, Software Architecture, Sprint Retrospectives, Agile Software Development, Kanban Principles, DevOps, Backlogs, Full-Stack Web Development, Software Design, Risk Analysis, Scrum (Software Development), Information Technology, Computer Hardware, Agile Methodology, Agile Project Management, Team Building, Risk Management, Leadership, Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Data Cleansing, Jupyter, Data Literacy, Data Mining, Data Manipulation, Data Preprocessing, Data Wrangling, R (Software), Business Analysis, Model Deployment, Database Management, Relational Databases, Stored Procedure, R Programming, Data Science, Big Data, Computer Programming Tools, Cloud Computing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    102K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    Master Trading with Indicators & Chart Patterns

    Skills you'll gain: Technical Analysis, Market Trend, Trend Analysis, Risk Control, Financial Trading, Risk Management, Risk Modeling, Securities Trading, Market Analysis, Business

    5
    Rating, 5 out of 5 stars
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    9 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    K

    Khalifa University

    Deep Learning for Computer Vision: Techniques & Applications

    Skills you'll gain: Generative AI, Computer Vision, PyTorch (Machine Learning Library), Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Image Analysis, Fine-tuning, Artificial Neural Networks, Model Training, Applied Machine Learning, Model Evaluation, Deep Learning, Transfer Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Artificial Intelligence

    Intermediate · Course

  • 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: Preview
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    E

    EDUCBA

    Master Revenue Recognition with IFRS 15 & ASC 606

    Skills you'll gain: Revenue Recognition, International Financial Reporting Standards, Financial Reporting, Contract Accounting, Generally Accepted Accounting Principles (GAAP), Financial Accounting, Technical Accounting, Business Reporting, Finance, Franchising, Accounting, International Finance, Case Studies, Business, Telecommunications

    4.9
    Rating, 4.9 out of 5 stars
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    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Digital Marketing and E-commerce

    Skills you'll gain: Data Storytelling, Performance Measurement, Digital Media Strategy, Performance Metric, Search Engine Marketing, Conversion Funnel Analysis, Data-Driven Decision-Making, Search Engine Optimization, Branding, Web Analytics and SEO, Digital Marketing, Customer Engagement, Marketing Planning, Marketing Strategies, Marketing, E-Commerce, Email Marketing, Brand Awareness, Marketing Analytics, Performance marketing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

    4.7
    Rating, 4.7 out of 5 stars
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    163 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    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
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Model Optimization, Python Programming, Data Manipulation, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    A

    Arm

    Getting Started with Machine Learning at the Edge on Arm

    Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Embedded Software, Data Preprocessing, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Neural Networks, Machine Learning Algorithms, Model Training, Convolutional Neural Networks, Feature Engineering, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Microarchitecture

    4.2
    Rating, 4.2 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

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

  • IBM IT Scrum Master: IBM
  • Introduction to Data Science: IBM
  • Master Trading with Indicators & Chart Patterns: EDUCBA
  • Deep Learning for Computer Vision: Techniques & Applications: Khalifa University
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Master Revenue Recognition with IFRS 15 & ASC 606: EDUCBA
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Foundations of Digital Marketing and E-commerce: Google
  • Camera and Imaging: Columbia University
  • Computer Vision Basics: University at Buffalo

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