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Mathematics for computer vision
The course is devoted to the systematization of the mathematical background of the students necessary for the successful mastering of educational disciplines in the field of computer vision. The course includes sections of mathematical analysis, probability theory, linear algebra.
Aim of the course:
• Systematization of the mathematical background
• Preparation for the use of mathematical knowledge in the professional activities of a specialist in the field of
computer vision.
Practical Learning Outcomes expected:
• Mastering practical skills in mathematics
• The solution of mathematical problems that are encountered in the practical work of a specialist in the field of computer vision.
This Course is part of HSE University Master of Computer Vision degree program. Learn more about the admission into the program and how your Coursera work can be leveraged if accepted into the program here https://inlnk.ru/r381p.
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Effort | 6 weeks + 1 week for a project, 15-20 hours per week |
| Starts | Jan 24 (121 weeks ago) |
| Cost | $50 |
| From | HSE University via Coursera |
| Instructors | Valeriy Kalyagin, Sergey Slashchinin |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Programming Mathematics |
| Tags | Data Science Machine Learning Probability And Statistics |
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Senior Computer Vision Scientist $187k
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Effort | 6 weeks + 1 week for a project, 15-20 hours per week |
| Starts | Jan 24 (121 weeks ago) |
| Cost | $50 |
| From | HSE University via Coursera |
| Instructors | Valeriy Kalyagin, Sergey Slashchinin |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Programming Mathematics |
| Tags | Data Science Machine Learning Probability And Statistics |
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