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Computer Vision Basics

By the end of this course, learners will understand what computer vision is, as well as its mission of making computers see and interpret the world as humans do, by learning core concepts of the field and receiving an introduction to human vision capabilities. They are equipped to identify some key application areas of computer vision and understand the digital imaging process. The course covers crucial elements that enable computer vision: digital signal processing, neuroscience and artificial intelligence. Topics include color, light and image formation; early, mid- and high-level vision; and mathematics essential for computer vision. Learners will be able to apply mathematical techniques to complete computer vision tasks.

Created by University at Buffalo


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What you’ll learn


From this learning opportunity you can improve the skills sought by employers today. The most relevant technique in the educational resource that is commonly requested from organizations is Artificial Intelligence. The most relevant tool is Matlab. You will also learn about Programming Skills, a trait often requested in job postings.

Who will benefit?


Comparing content from this learning resource with nearly 10,000 data-related job descriptions, we discover that those interested in Data Scientist roles would benefit the most.