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    • Computer Vision
    Related topics:image processingvisiondeeplearning.aiopen cvneural networksstochastic

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    186 results for "computer vision"

    • Free

      Northwestern University

      Northwestern University

      Fundamentals of Digital Image and Video Processing

      Skills you'll gain: Probability & Statistics, Theoretical Computer Science, Data Analysis Software, Linear Algebra, Image Processing, Mathematics, Computer Graphic Techniques, General Statistics, Computational Logic, Data Analysis, Mathematical Theory & Analysis, Machine Learning, Computer Graphics, Computer Vision, Algorithms

      4.6

      (1.6k reviews)

      Mixed · Course · 1-3 Months

    • Free

      Sungkyunkwan University

      Sungkyunkwan University

      Fundamentals of CNNs and RNNs

      Skills you'll gain: Machine Learning, Convolutional Neural Network

      4.0

      (10 reviews)

      Beginner · Course · 1-3 Months

    • Microsoft

      Microsoft

      Build a computer vision app with Azure Cognitive Services

      Skills you'll gain: Computer Networking, Computer Programming, Machine Learning, Application Programming Interfaces, Microsoft Azure, Computer Architecture, Computer Programming Tools, Interfaces, Cloud Computing, Computer Vision, Network Architecture

      4.2

      (10 reviews)

      Intermediate · Rhyme Project · Less Than 2 Hours

    • Coursera Project Network

      Coursera Project Network

      Object Detection with Amazon Sagemaker

      Skills you'll gain: Machine Learning, Strategy and Operations, Web, Computer Programming, Programming Principles, Amazon Web Services, Language, Object Detection, Computer Vision, Cloud Computing

      4.5

      (95 reviews)

      Advanced · Rhyme Project · Less Than 2 Hours

    • University of Pennsylvania

      University of Pennsylvania

      Robotics: Perception

      Skills you'll gain: Machine Learning, Linear Algebra, Mathematics, Theoretical Computer Science, Algorithms, Geometry, Computer Vision

      4.3

      (619 reviews)

      Intermediate · Course · 1-4 Weeks

    • DeepLearning.AI

      DeepLearning.AI

      Convolutional Neural Networks in TensorFlow

      Skills you'll gain: Computer Graphic Techniques, Artificial Neural Networks, Computer Programming, Applied Machine Learning, Statistical Programming, Tensorflow, Python Programming, Machine Learning, Statistical Machine Learning, Computer Vision, Convolutional Neural Network, Machine Learning Algorithms, Computer Graphics, Deep Learning

      4.7

      (7.3k reviews)

      Intermediate · Course · 1-4 Weeks

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      Duke University

      Duke University

      Machine Learning Foundations for Product Managers

      Skills you'll gain: Data Structures, Theoretical Computer Science, General Statistics, Probability & Statistics, Econometrics, Machine Learning, Process, Artificial Neural Networks, Data Management, Natural Language Processing, Machine Learning Algorithms, Computer Vision, Strategy and Operations

      4.6

      (53 reviews)

      Beginner · Course · 1-3 Months

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      Coursera Project Network

      Coursera Project Network

      Deep Learning with PyTorch : Neural Style Transfer

      Skills you'll gain: Python Programming, Statistical Programming, Computer Programming, Machine Learning, Computer Vision, Deep Learning

      4.4

      (68 reviews)

      Intermediate · Rhyme Project · Less Than 2 Hours

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      University of Toronto

      University of Toronto

      Visual Perception for Self-Driving Cars

      Skills you'll gain: Machine Learning, Computer Graphic Techniques, Probability & Statistics, Artificial Neural Networks, Semantics, Object Detection, Computer Vision, Deep Learning, Computer Graphics

      4.7

      (509 reviews)

      Advanced · Course · 1-3 Months

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      Coursera Project Network

      Coursera Project Network

      Computer Vision - Image Basics with OpenCV and Python

      Skills you'll gain: Image Processing, Computer Programming, Statistical Programming, Opencv

      4.3

      (661 reviews)

      Beginner · Rhyme Project · Less Than 2 Hours

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      Columbia University

      Columbia University

      3D Reconstruction - Single Viewpoint

      Skills you'll gain: Machine Learning, Computer Vision

      4.9

      (8 reviews)

      Beginner · Course · 1-3 Months

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      Columbia University

      Columbia University

      Camera and Imaging

      Skills you'll gain: Theoretical Computer Science, Process, Mathematics, Machine Learning, Algorithms, Computer Graphics, Computer Graphic Techniques, Computer Vision

      4.6

      (36 reviews)

      Beginner · Course · 1-3 Months

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    1234…16

    In summary, here are 10 of our most popular computer vision courses

    • Fundamentals of Digital Image and Video Processing: Northwestern University
    • Fundamentals of CNNs and RNNs: Sungkyunkwan University
    • Build a computer vision app with Azure Cognitive Services: Microsoft
    • Object Detection with Amazon Sagemaker: Coursera Project Network
    • Robotics: Perception: University of Pennsylvania
    • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
    • Machine Learning Foundations for Product Managers: Duke University
    • Deep Learning with PyTorch : Neural Style Transfer: Coursera Project Network
    • Visual Perception for Self-Driving Cars: University of Toronto
    • Computer Vision - Image Basics with OpenCV and Python: Coursera Project Network

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Computer Vision

    • Computer Vision is the branch of Computer Science—particularly Machine Learning and AI—that has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law-enforcement agencies, and more. Essentially, it’s a robot analogue of human vision in which information about the environment is received by one or more video cameras and processed by a computer.

      Computer Vision solves a lot of problems, making it important to learn. Some of its uses include advances in health technologies. Computer Vision algorithms can help automate tasks such as detecting cancerous moles in skin images or finding symptoms in x-ray and MRI scans.‎

    • Thanks to a need for quality inspection in vision-guided robotic systems, the market for Computer Vision is anticipated to rise to $17.4 billion by 2024. To reap the benefits of this in-demand field, learners can enjoy opportunities as Computer Vision Engineers, Computer Vision Software Engineers, Applied Research Scientists, Computer Vision Testing Engineers, Deep Learning Engineer, Computer Vision Data Scientist, and more.‎

    • Computer Vision courses offered through Coursera equip learners with knowledge in how computers see and interpret the world as humans do; core concepts of Computer Vision and human vision capabilities; key application areas of Computer Vision and Digital Image Processing; Machine Learning and AI basics; and more.

      Lessons on Computer Vision are taught by Data Scientists, Software Engineers, and other specialists, and are administered via video lectures, readings, quizzes, hands-on projects, and more.‎

    • Before you begin studying computer vision, you’ll want to have a familiarity with mathematical analysis and linear algebra as well as a knowledge of Python syntax, the TensorFlow Deep Learning Framework, and OpenCV library. Any advanced experience in computer programming will benefit you as you learn computer vision, particularly if you understand application programming interfaces. You’ll also have an advantage in studying computer vision if you have knowledge of artificial intelligence and machine learning. Other mathematical skills that will help you include statistics and geometry. And a working knowledge of biological vision will help you have a better understanding of how computer vision works.‎

    • Computer vision is just a small slice of the quickly growing field of machine learning, and people with experience in artificial intelligence or machine learning, in general, are well suited for job opportunities in this discipline. Anyone with a background in machine learning can take their skills and specifically hone them for a computer vision career. Data scientists who have deep learning, data structure, and programming language knowledge have a foundation that will benefit them as they study computer vision. Any programmer or scientist who has experience with digital image processing computer programs and algorithms has grasped the basic fundamentals to embark on a career in computer vision.‎

    • Computer vision is an exciting field with possibilities in health care, app development, and data security, and if you’re interested in being on the leading edge of any of those industries, you may want to consider learning computer vision. Learning computer vision is right for anybody who wants to develop platforms and programming languages that allow computers to see the world the way humans do. You might find the idea of analyzing large numbers of images and building visual systems that read the data and context of those images for web-based apps and computer programs to recognize appeals to you, and if so, learning computer vision is likely right for you.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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