Officially I was accepted into Masters degree at Saint-Petersburg State University, Faculty of Mathematics & Computer Science in August 2022. I passed exams into several other Masters programs:
- SPbSU SD+DS
- ITMO SE
- ITMO ML
- HSE (SPb) ML
- SPbPU
However, MCS looked the most promising and the most inspiring. Later I noticed that during my education I could take courses from YSDA. And also, that I was in top-30% of accepted students, which meant that I got special scholarschip from VK.
π Entrance exam
To get into this masters program I’ve required to pass the following exam: link. It was not very hard, but it was challenging. One day I will write it down (and it’s solution) with LaTeX.
π€― Courses
2022 - 2023. Fall
- Bayesian Methods in Machine Learning (YSDA)
- Natural Language Processing (YSDA)
- Computer Vision (YSDA)
- Deep Learning (MCS)
2022 - 2023. Spring
- 3D Computer Vision (YSDA)
- Reinforcement Learning (YSDA)
- Seminar on Deep Learning (YSDA)
- Bayesian Methods in Neural Networks (YSDA)
2023 - 2024. Fall
- Convex analysis and optimization (YSDA)
- GPU Computations (MCS)
2023 - 2024. Spring (preliminary)
- Parallel computations (YSDA)
- Basics of statistics in Machine Learning (YSDA)
π€ͺ Extracurricular Activities
During my 2 Master years at the university I tried to do things not only related to study. Here are several things I completed:
- ML Models finetuning (Pupils 2023 Summer School)
- Yandex Professor Assistance (Fall 2023 - 2024)
- To be continued
π Thesis
I didn’t decide which Thesis I will write.