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    • Computer Vision

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    200 results for "computer vision"

    • Free

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      Duke University

      Visual Perception and the Brain

      Skills you'll gain: Geometry, Software Testing, Entrepreneurship, Graphic Design, Leadership and Management, Theoretical Computer Science, Scientific Visualization, Research and Design, Computer Graphic Techniques, Software Engineering, Problem Solving, Computer Graphics, Probability & Statistics, Databases, Data Visualization, Data Management, Bioinformatics, Machine Learning, Algorithms, Creativity, Mathematics, Statistical Programming, SQL

      4.7

      (236 reviews)

      Mixed · Course · 1-3 Months

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      Universidad de los Andes

      Analítica financiera​

      Skills you'll gain: Theoretical Computer Science, Mathematical Theory & Analysis, Probability & Statistics, R Programming, Finance, Computational Logic, Mathematics, General Statistics, Forecasting, Statistical Programming

      4.5

      (11 reviews)

      Intermediate · Course · 1-4 Weeks

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      University of Michigan

      Speaking and Presenting: Pitches and Persuasion

      Skills you'll gain: Entrepreneurship, Leadership and Management, Security Engineering, Storytelling, Theoretical Computer Science, Market Research, Research and Design, Marketing, Communication, Strategy and Operations, Negotiation, Network Architecture, Computer Architecture, Sales, Cryptography, Strategy, Computer Networking

      4.7

      (24 reviews)

      Beginner · Course · 1-4 Weeks

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      Google Cloud

      Serverless Data Processing with Dataflow: Foundations

      Skills you'll gain: Cloud Computing, Apache, Theoretical Computer Science, Distributed Computing Architecture, Computational Thinking, Data Management, Computer Architecture, Computer Programming, Hardware Design, Google Cloud Platform

      4.1

      (53 reviews)

      Intermediate · Course · 1-3 Months

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      Universitat Autònoma de Barcelona

      Big Data: procesamiento y análisis

      Skills you'll gain: Training, Probability & Statistics, Business Psychology, Human Resources, Machine Learning Algorithms, Theoretical Computer Science, Basic Descriptive Statistics, Plot (Graphics), Regression, Data Analysis, Communication, Data Management, Data Structures, Big Data, Artificial Neural Networks, Marketing, Algorithms, Machine Learning, Advertising, Accounting, Dimensionality Reduction, General Statistics, Statistical Machine Learning, Data Visualization

      4.2

      (232 reviews)

      Intermediate · Course · 1-3 Months

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      University of Colorado Boulder

      Master of Science in Electrical Engineering

      Skills you'll gain: Programming Principles, Operating Systems, Theoretical Computer Science, Software Engineering, Product Lifecycle, Applied Mathematics, Power Electronics, Statistical Machine Learning, Interfaces, User Experience Design, Linear Algebra, Computer Graphics, Marketing, Differential Equations, Schedule, Human Computer Interaction, Hardware Design, Internet, Graphics Software, Systems Design, Electronics, Physics, Estimation, Security, Language, Network Model, Operations Research, Markov Model, Geometry, Feature Engineering, Research and Design, Computer Architecture, Analysis, Modeling, Internet Of Things, Computational Logic, Design and Product, Algorithms, Data Visualization, Computer Graphic Techniques, Simulation, Mathematics, Computer Programming, Project, Probability & Statistics, User Experience, Machine Learning, User Interface, Strategy and Operations, Statistical Visualization

      Earn a degree

      Degree · 1-4 Years

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      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Applied Machine Learning, Statistical Classification, Feature Engineering, Python Programming, Linear Regression, Probability & Statistics, Machine Learning Algorithms, Linearity, Theoretical Computer Science, Logistic Regression, Linear Algebra, Artificial Neural Networks, Calculus, Accounting, Cost, Regression, Computer Programming, Probability Distribution, Mathematics, Statistical Machine Learning, Econometrics, General Statistics, Machine Learning, Algorithms, Statistical Programming

      4.9

      (1.9k reviews)

      Beginner · Course · 1-4 Weeks

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      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Tensorflow, Python Programming, Probability & Statistics, Data Analysis, Data Mining, Theoretical Computer Science, Operations Research, Machine Learning Algorithms, Communication, Computer Programming, Strategy and Operations, Research and Design, Mathematical Theory & Analysis, Algorithms, Reinforcement Learning, Probability Distribution, General Statistics, Statistical Programming, Mathematics, Machine Learning, Artificial Neural Networks, Applied Machine Learning

      4.9

      (59 reviews)

      Beginner · Course · 1-4 Weeks

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      Universitat Autònoma de Barcelona

      Contratación y mercado digital. Aspectos legales y otras cuestiones de interés

      Skills you'll gain: Security Strategy, Operating Systems, Security Engineering, Contract Management, Economy, Big Data, FinTech, E-Commerce, I-Deas, Finance, System Security, BlockChain, Data Management, Computer Networking, Software Security, Strategy and Operations, Network Security, Sales

      4.6

      (190 reviews)

      Beginner · Course · 1-3 Months

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      Free

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      École Polytechnique Fédérale de Lausanne

      Analyse numérique pour ingénieurs

      Skills you'll gain: Mathematical Theory & Analysis, Matlab, Linear Algebra, Simulation, Mathematics, Analysis

      4.5

      (104 reviews)

      Intermediate · Course · 1-3 Months

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      Free

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      Universitat Autònoma de Barcelona

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

      Skills you'll gain: Marketing, Communication, Modeling

      4.3

      (76 reviews)

      Mixed · Course · 1-3 Months

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      Google Cloud

      Deploying a Python Flask Web Application to App Engine Flexible

      Beginner · Project · Less Than 2 Hours

    Searches related to computer vision

    computer vision - image basics with opencv and python
    computer vision basics
    computer vision with embedded machine learning
    computer vision fundamentals with google cloud
    computer vision in microsoft azure
    advanced computer vision with tensorflow
    introduction to computer vision and image processing
    build a computer vision app with azure cognitive services
    1…14151617

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

    • Visual Perception and the Brain: Duke University
    • Analítica financiera​: Universidad de los Andes
    • Speaking and Presenting: Pitches and Persuasion: University of Michigan
    • Serverless Data Processing with Dataflow: Foundations: Google Cloud
    • Big Data: procesamiento y análisis: Universitat Autònoma de Barcelona
    • Master of Science in Electrical Engineering: University of Colorado Boulder
    • Supervised Machine Learning: Regression and Classification: DeepLearning.AI
    • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
    • Contratación y mercado digital. Aspectos legales y otras cuestiones de interés: Universitat Autònoma de Barcelona
    • Analyse numérique pour ingénieurs: École Polytechnique Fédérale de Lausanne

    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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