Scientific workshop "Big Data Analytics"

h1. 1. Enterprize Practice from Digital Field Technologies _by Technologies. Dmitry Tailakov_

Tailakov, dtailakov@nntc.pro
Part-time, flexible schedule.
Ability to write theses and participation in real projects.
Recommended requirements:
- knowledge -knowledge of language python|C++;
- the ability to use the library for data analysis Pandas, NumPy, SciPy, Matplotlib, TensorFlow, Keras;
- algorithm using optimization techniques and machine learning methods;
- possession of numerical methods of mathematical modeling in hydrodynamics and geophysics.

Contact person: _Dmitry Tailakov_, CTO Digital Field Technologies: dtailakov@nntc.pro

h1. 2. "Topics":/attachments/download/3197 "Topics":/attachments/download/ for master thesis from the Digital Field Technologies company

Topics are attached to this issue. Contact person: _Dmitry Tailakov_,
Dmitry Tailakov, dtailakov@nntc.pro

h1. 3. "SDAML lab.":https://bigdata.nsu.ru/lab/ Enterprize Practice.

Universal Practice Plan (180h, (180h 1/3 part-time - 10-20k RUB) :
1. A review of modern solutions based on technical requirements
2. Define metrics for solving the problem (WER, MOS, ...)
3. Find dataset, access (LibriSpeech, VoxCeleb)
4. Find Implementation
5. Reproduce baseline
6. Wrap into a package/module/web-service (define and implement interfaces)
7. Document results
8. [Add data to the dataset]
9. [Retrain with new dataset]
10. Present results

Date start: 5-Oct
Test period - 1 month.

Topics (6 students - max):
1. Voice Command Recognition
2. Speaker Identification
3. Speech-to-Text
4. Text-to-Speech
5. Tumor classification
6. Bones cut

Contact person: _Evgeniy Pavlovskiy_, leading researcher SDAML lab. NSU: e.pavlovskiy@g.nsu.ru.

h1. 4. Papers assignment

Current assignment:
!image_2020-09-22_17-23-37.png!

Decided to form a list of reproducible papers with the help of *Alix Bernard* - by tomorrow (25.09.2020).
Then vote for reproducible papers to select it for inassigned 2nd year students.