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Explore Computer Vision Courses for Beginners
Skills you'll gain: Computer Vision, Deep Learning, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Visualization (Computer Graphics), Algorithms, Applied Machine Learning, Machine Learning Software, Python Programming, Computer Programming, Data Science
MathWorks
Skills you'll gain: Deep Learning, Machine Learning, Computer Vision, Matlab
Columbia University
Skills you'll gain: Computer Vision, Mathematics, Algebra, Algorithms, Computational Thinking
MathWorks
Skills you'll gain: Computer Vision, Deep Learning, Matlab
Skills you'll gain: Computer Vision
Microsoft
Skills you'll gain: Applied Machine Learning, Computer Vision, Machine Learning, Microsoft Azure, Human Learning, Machine Learning Algorithms, Machine Learning Software
University of Colorado Boulder
MathWorks
Skills you'll gain: Computer Vision, Machine Learning
Skills you'll gain: Matlab
Columbia University
Skills you'll gain: Computer Vision, Mathematics, Algebra, Algorithms, Computational Thinking
Coursera Project Network
Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning, Python Programming, Tensorflow
- Status: Free
University of Washington
Skills you'll gain: Mathematics, Computer Programming, Mathematical Theory & Analysis, Probability & Statistics, Python Programming, Computational Logic, Data Analysis, Computational Thinking, Linear Algebra, Machine Learning, Human Learning
Searches related to computer vision
In summary, here are 10 of our most popular computer vision courses
- Introduction to Computer Vision and Image Processing: IBM
- MathWorks Computer Vision Engineer: MathWorks
- First Principles of Computer Vision: Columbia University
- Deep Learning for Computer Vision: MathWorks
- Object Tracking and Motion Detection with Computer Vision: MathWorks
- Computer Vision in Microsoft Azure: Microsoft
- Introduction to Computer Vision: University of Colorado Boulder
- Machine Learning for Computer Vision: MathWorks
- Image Processing for Engineering and Science: MathWorks
- Camera and Imaging: Columbia University