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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
    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
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    California Institute of the Arts

    Fundamentals of Graphic Design

    Skills you'll gain: Graphic and Visual Design, Graphic Design, Graphic and Visual Design Software, Visual Design, Design, Color Theory, Design Elements And Principles, Creative Design, Design Software, Conceptual Design, Design Reviews, Adobe Photoshop, Visual Storytelling, Design Strategies, Image Analysis, Creative Thinking, Creativity

    4.8
    Rating, 4.8 out of 5 stars
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    18K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    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

  • Status: Free
    Free
    C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Model Optimization, Python Programming, Model Training, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
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    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

  • 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, Data Processing, Big Data, Computer Programming Tools, Python Programming

    Build toward a degree

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Responsible AI, Cloud Security, Cloud Technologies, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Engineering, Cloud Computing, Generative AI, Generative Model Architectures, Data Processing, Big Data, LLM Application, AI literacy, Data Science, Business

    4.7
    Rating, 4.7 out of 5 stars
    ·
    107K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Mask Detector with Python & TensorFlow: Build & Deploy

    Skills you'll gain: Image Analysis, Cloud Deployment, Tensorflow, Amazon Web Services, Convolutional Neural Networks, Model Deployment, Application Development, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Computer Vision, Model Training, Front-End Web Development, Data Preprocessing, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Skillshare

    Surface Pattern Design: Key Principles for Amazing Patterns

    Skills you'll gain: Design Software, Creative Design, Graphic and Visual Design, Creativity, Editing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Foundations for Business

    Skills you'll gain: Responsible AI, Data Literacy, AI Enablement, Data Mining, AI Product Strategy, Generative AI, Generative Model Architectures, Decision Intelligence, Data Processing, Big Data, LLM Application, Information Architecture, AI literacy, Strategic Decision-Making, AI Integrations, Enterprise Architecture, Cloud Computing, Data Science, Data Architecture, Leadership

    4.7
    Rating, 4.7 out of 5 stars
    ·
    100K reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Fundamentals of Graphic Design: California Institute of the Arts
  • Getting Started with Machine Learning at the Edge on Arm: Arm
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Machine Learning and Data Analytics Part 1: Northeastern University
  • Introduction to Data Science: IBM
  • Key Technologies for Business: IBM
  • Mask Detector with Python & TensorFlow: Build & Deploy: EDUCBA
  • Surface Pattern Design: Key Principles for Amazing Patterns: Skillshare

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Adobe Photoshop (6)

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