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    205 results for "computer vision"

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      Coursera Project Network

      Implementando modelo Computer Vision en Amazon Sagemaker

      Beginner · Guided Project · Less Than 2 Hours

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      HSE University

      Master of Computer Vision

      Skills you'll gain: Computer Graphic Techniques, C Programming Language Family, Computer Graphics, Computer Programming

      Earn a degree

      Degree · 1-4 Years

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      IIT Guwahati

      Post Graduate Certificate in Deep Learning for Computer Vision & Extended Reality (XR)

      University Certificate · 6-12 Months

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      IBM Skills Network

      Key Technologies for Business

      Skills you'll gain: Analysis, Applied Machine Learning, BlockChain, Cloud Applications, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Communication, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Analysis, Data Mining, Deep Learning, DevOps, Ethics, Finance, General Statistics, Human Computer Interaction, IBM Cloud, Interactive Design, Machine Learning, Machine Learning Algorithms, Network Architecture, Network Security, Operating Systems, Probability & Statistics, Regression, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Framework, System Programming, Theoretical Computer Science

      4.7

      (67.2k reviews)

      Beginner · Specialization · 1-3 Months

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      IBM

      IBM AI Foundations for Business

      Skills you'll gain: Analysis, Applied Machine Learning, Artificial Neural Networks, Cloud Computing, Cloud Platforms, Communication, Computer Vision, Data Analysis, Data Architecture, Data Management, Data Mining, Database Administration, Databases, Deep Learning, Ethics, General Statistics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Probability & Statistics, Regression

      4.7

      (65.3k reviews)

      Beginner · Specialization · 1-3 Months

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      University of Virginia Darden School Foundation

      IBM & Darden Digital Strategy

      Skills you'll gain: Analysis, Apache, Applied Machine Learning, Big Data, BlockChain, Business Analysis, Business Design, Business Transformation, Change Management, Cloud Applications, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Deep Learning, Design and Product, DevOps, Digital Marketing, Entrepreneurship, Ethics, Extract, Transform, Load, Finance, General Statistics, Human Computer Interaction, IBM Cloud, Innovation, Interactive Design, Leadership and Management, Machine Learning, Machine Learning Algorithms, Market Analysis, Marketing, Network Architecture, Network Security, NoSQL, Operating Systems, Product Strategy, Professional Development, Research and Design, Sales, Security, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Framework, Strategy, Strategy and Operations, System Programming, Theoretical Computer Science

      4.7

      (19.1k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Machine Learning

      Skills you'll gain: Algebra, Algorithms, Analysis, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Business Analysis, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Structures, Data Visualization, Databases, Deep Learning, Dimensionality Reduction, Experiment, Exploratory Data Analysis, Feature Engineering, Forecasting, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, NoSQL, Probability & Statistics, Python Programming, Regression, Reinforcement Learning, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Theoretical Computer Science

      4.6

      (1k reviews)

      Intermediate · Professional Certificate · 3-6 Months

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      IBM Skills Network

      AI Foundations for Everyone

      Skills you'll gain: Applied Machine Learning, Cloud Computing, Computer Vision, Deep Learning, Ethics, IBM Cloud, Machine Learning, Machine Learning Algorithms, Natural Language Processing, Software Engineering, Software Engineering Tools, Web Development, Web Development Tools

      4.7

      (11.5k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Introduction to Machine Learning

      Skills you'll gain: Algebra, Algorithms, Analysis, Applied Machine Learning, Bayesian Statistics, Business Analysis, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Structures, Data Visualization, Databases, Deep Learning, Dimensionality Reduction, Experiment, Exploratory Data Analysis, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, NoSQL, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science

      4.6

      (1k reviews)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Skills you'll gain: Applied Machine Learning, Artificial Neural Networks, Bias, Computer Programming, Computer Vision, Deep Learning, Machine Learning, Machine Learning Algorithms, Modeling, Python Programming, Statistical Programming

      4.7

      (1.8k reviews)

      Intermediate · Specialization · 1-3 Months

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      Vanderbilt University

      MATLAB Programming for Engineers and Scientists

      Skills you'll gain: Algorithms, Computer Graphic Techniques, Computer Graphics, Computer Program, Computer Programming, Computer Vision, Data Analysis, Data Analysis Software, Data Visualization, Dimensionality Reduction, General Statistics, Leadership and Management, Linear Algebra, Machine Learning, Mathematics, Matlab, Plot (Graphics), Probability & Statistics, Programming Principles, Regression, Theoretical Computer Science

      4.8

      (16.4k reviews)

      Beginner · Specialization · 3-6 Months

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      University of Pennsylvania

      Robotics

      Skills you'll gain: Algorithms, Applied Machine Learning, Bioinformatics, Computer Programming, Computer Vision, Data Analysis, Data Analysis Software, Entrepreneurship, General Statistics, Geometry, Leadership and Management, Linear Algebra, Machine Learning, Mathematics, Matlab, Path (Variable), Planning, Probability & Statistics, Problem Solving, Research and Design, Robotics, Supply Chain and Logistics, Theoretical Computer Science

      4.4

      (3.7k reviews)

      Beginner · Specialization · 3-6 Months

    Searches related to computer vision

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    1…456…18

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

    • Implementando modelo Computer Vision en Amazon Sagemaker: Coursera Project Network
    • Master of Computer Vision: HSE University
    • Post Graduate Certificate in Deep Learning for Computer Vision & Extended Reality (XR):  IIT Guwahati
    • Key Technologies for Business: IBM Skills Network
    • IBM AI Foundations for Business: IBM
    • IBM & Darden Digital Strategy: University of Virginia Darden School Foundation
    • IBM Machine Learning: IBM Skills Network
    • AI Foundations for Everyone: IBM Skills Network
    • IBM Introduction to Machine Learning: IBM Skills Network
    • Generative Adversarial Networks (GANs): DeepLearning.AI

    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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