Big Data Analytics and Applications
Big Data are not data!
Paradigm shift
Paradigm shift
Problems in Russian Big Data
Big Data education in Russia
Master programs
Online
Additional education
NSU Big Data Strategy
Syllabus of Master program
Challenges
Skull surface restore
Deep learning
Van Gogh Ivan Gogov
Paintings
Articles for revision
Pushkin A.I.
Thank you!
4.25M
Категория: ИнформатикаИнформатика

Big Data Analytics and Applications

1. Big Data Analytics and Applications

Pavlovskiy E.N., Ph.D.
head of the Stream Data Analytics and Machine Learning lab NSU
http://bigdata.nsu.ru

2.

Value
Velocity
Volume
Variety

3. Big Data are not data!

• Technology for gathering, storage, processing, and utilize
• Method of data processing and representation
• Problem of resource lack
• Social phenomenon
• Data of big volume, variety, velocity, distributed
• Big potential value

4. Paradigm shift

• Subject of labour is not a program, but hypothesis and data

5. Paradigm shift

• More sources – higher veracity
• More data – higher accuracy
• More data – lower quality requirements
• High-speed algorithms: O(N) or O(NlogN)
• Unmovable data => parallelism and map reduce
• Structure decline => information extraction

6.

7.

2014

8.

2015

9. Problems in Russian Big Data

• No depersonalization culture (FL-152)
• No understanding of potential value
• Insufficient competence in statistics
• Absence of data brokers
• Highly risked data analytics projects
• Lack of data

10. Big Data education in Russia

11. Master programs

HSE:
• Big Data Systems
• Data Sciences
MSU:
• «Intellectual analysis of big data»
• «Big Data: infrastructure and solution technique»
NSU
• Big Data Analytics
• Computer modeling

12. Online

1 week to 1 year
• Coursera, edX (http://rusbase.com/list/bigdatye-kursy/)
• Intuit (Introduction to Big Data Analytics) http://bit.ly/IntuitBDA

13. Additional education

1 week - 3 month - 2 years
• Yandex Data Analysis School – https://yandexdataschool.ru/
• Digital October – http://newprolab.ru
• Beeline - http://bigdata.beeline.digital/datamba
• Expasoft – http://expasoft.com/edu/

14. NSU Big Data Strategy

Online courses
Master of Sciences
(10-20 per year)
Ph.D.
(5-10 per year)
Additional study
(20 – 100 per year)
• Wide audience
• Leads to offline
• Mobility
• For industry and science
• Scientific schools
• MBA

15. Syllabus of Master program

16. Challenges

• 1st place, 2015, AVITO
• 1st place, 2015, eKapusta
• 4th place among 619 teams, 2009, Data Mining Cup

17. Skull surface restore

No formulae
No negative examples
Neural networks, autoencoders

18. Deep learning

Unsupervised

19.

Semantic segmentation
http://arxiv.org/pdf/1511.00561v2.pdf

20. Van Gogh Ivan Gogov

Alex J. Champandard. Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks. 2016

21. Paintings

http://tinyclouds.org/colorize/

22. Articles for revision

http://karpathy.github.io/2015/05/21/rnn-effectiveness/

23. Pushkin A.I.

Зафонствуя попруг,
Ивисшивый чела,
На воспопе днего,
Я могина бесслужел,
Катирей свети довой,
Из увядебиле меня,
И на гразой шле, далодной
Вольностью примстают;
Я, водешил перцов
миренья?
N.I. Putincev, stream data analytics and machine learning lab NSU

24. Thank you!

http://bigdata.nsu.ru
Evgeniy Pavlovskiy,
head of the SDAML
N*SU
[email protected],
+79139117907
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