Top HR tips for a career in Computer Vision (22nd July, 2021)
In this webinar we discussed the following topics:
• What should you expect as a CV-engineer searching for a job?
• How to build a perfect resume and portfolio?
• Do beginners have the same opportunities as experienced professionals in this field?
Exam paper ver.2 explanations (17th June, 2021)
HSE Master of Computer Vision program leaders will tald about the mandatory entrance exam for admission into this competitive Master's degree program, reviewed completing tasks from the 2nd exam paper, guided applicants through exam procedure. Second version of the exam paper to practice available on program's website (exam section). Participants of the webinar will have an opportunity to ask questions and get consultation.
Program Introduction (3rd June, 2021)
The Study Office presented an overview of the educational process, the structure of the programme and each of 16 courses, types of assignments, projects that students will complete during the courses and could include into professional portfolio.
Practical issue: How to prepare Data to solve computer vision problems. Xperience.AI team (24th April, 2021)
In this video Xperience.AI team presents and trains how to to prepare Data to solve computer vision and deep learning problems successfuly
Interview with successful graduates (22nd Aprill, 2021)
Meet graduates of the Master's program in Data Mining, which is within the same HSE faculty as the MCV program. The alumni, who are currently building a career in the field of artificial intelligence and computer vision, share real stories of building a career in Russian and international companies, tell you what pitfalls can be expected and how to fully realize your potential
Sokolov Artem.presentation (PDF, 264 Кб)
Alexander Lyashuk.presentation (PDF, 513 Кб)
Ivan Grechihin. EPAM (PPTX, 1,99 Мб)
Useful links and resourses, mentioned at the webinar
We can also send webinar participants invites to the marketplace, so that everyone can try different models on their data and see what they are capable. Please send the request via email email@example.com
Introducing Program`s Partners (8th April, 2021)
In this webinar, the HSE University Master of Computer Vision team introduced engineers from Round.U (https://roundu.ai/), Andrey Kolpakov and Alexander Rassadin, to talk about the many ways in which we come across computer vision in our everyday lives. They also provided tips for aspiring computer vision engineers and programmers.
Here is the link to download webinar`s presentation
How to prepare for the entrance exam (25th March, 2021)
In this webinar, programme leaders:
- told about the mandatory entrance exam for admission into this program
- discussed the topics, test formats and exact tasks
Open Day Webinar (14th March, 2021)
The faculty of Informatics, Mathematics, and Computer Science acquainted perspectives applicants with new online program – “Master of Computer Vision”.
The Dean and Program Academic Supervisor told whom is “Master of Computer Vision” designed for, gave a historical brief about development and modern trends of computer vision field, also explained why almost every large corporation today is highly interested in solving recently appeared computer vision tasks and why the computer vision engineers and scientists are so demanded nowadays.
The questions mentioned among others were:
- How long does it take to complete the program?
- That`s the cost?
- Available discounts?
- Time commitment?
- Required background for participating the course?
- Structure and the content of the program?
Admission Webinar: «Modern tasks of computer vision» (5th February, 2021)
At the webinar on February 4 at 19:00 (Moscow time) we talked about modern problems in the field of computer vision, which are currently being solved by HSE research teams and business companies. We tryied to answer the questions: - what tasks are being successfully solved, and which ones cause difficulties even with the use of modern tools and technologies; - what technologies and tools exist for solving computer vision problems and how they are developing in accordance with new tasks.