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    • Image Classification

    Image Classification Courses Online

    Master image classification for computer vision applications. Learn to build and train models for categorizing images using machine learning.

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    Explore the Image Classification Course Catalog

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning: Techniques and Applications

      Skills you'll gain: Computer Vision, Machine Learning Algorithms, Image Analysis, Supervised Learning, Applied Machine Learning, Feature Engineering, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Predictive Modeling, Machine Learning, Data Analysis

      3.9
      Rating, 3.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Machine Learning for Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Matlab, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Data Validation, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      P

      Pontificia Universidad Católica de Chile

      Procesamiento de Imágenes

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Python Programming, Color Theory, Algorithms, Linear Algebra

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      Universitat Autònoma de Barcelona

      Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?

      Skills you'll gain: Computer Vision, Image Analysis, Performance Testing, Feature Engineering, Spatial Analysis, Supervised Learning, Machine Learning Algorithms, Deep Learning, Artificial Neural Networks

      4.3
      Rating, 4.3 out of 5 stars
      ·
      79 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      I

      Institut Mines-Télécom

      Traitement d'images : analyse fréquentielle et multi-échelle

      Skills you'll gain: Image Analysis, Computer Vision, Advanced Mathematics, NumPy, Python Programming, Computer Graphics, Mathematical Modeling, Applied Mathematics

      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, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Machine Learning for Data Analysis

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning, Supervised Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      325 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      171 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      423 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Create Image Captioning Models

      Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      32 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Deep Learning, Data Ethics, Computational Thinking, Artificial Intelligence, Data Processing, Linear Algebra, Probability Distribution

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular image classification courses

    • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
    • Machine Learning for Computer Vision: MathWorks
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Procesamiento de Imágenes: Pontificia Universidad Católica de Chile
    • Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?: Universitat Autònoma de Barcelona
    • Traitement d'images : analyse fréquentielle et multi-échelle: Institut Mines-Télécom
    • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
    • Machine Learning for Data Analysis: Wesleyan University
    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
    • Supervised Machine Learning: Classification: IBM

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