Scientific workshop "Big Data Analytics"

h1. Seminar "Big Data Analytics"

h2. Schedule 2017, spring
Wednesday, 18:15, cab 5205 NSU new building

h3. March, 2017

|9||
|15 |Videolecture from *Yann LeCun*. #1549|
|22 |*Pakulich, Dmitry*. Skull surface restoration by Neural Networks for Cranioplastic.
*Gusev, Petr*. Tool for scholars to study machine learning in images. |
|29 |*Dorozhko, Anton*. Reinforcement learning: a brief review.
*Laptev, Vlad*. Tool for scholars to study text mining.|

h3. April, 2017

|5 |*Lukash, Arina*. Using deep learning for paronym resolution (in Russian).
*Firsov, Artemiy*. Team management presentation.|
|12|*Istomin, Michael*. Optimization of algorithm of binary convolution for ARM processors (in Russian).
*Nikolenko, Nikita*. FRIS - censoring of training sample for images in the task of neural network faces recognition (in Russian).|
|19|*Firsov, Artemiy*. Report on Frontiers of Massive Data Analysis, Chapter 4 TEMPORAL DATA AND REAL-TIME ALGORITHMS (1/2 real-time data storage)
-*Illarionov, Boris*. Report on Frontiers of Massive Data Analysis, Chapter 6-|
|26|*Beloglazov, Dmitry*. Machine Learning tasks for Music Composing. Several topics for master's capstone project.
*Firsov, Artemiy*. Report on Frontiers of Massive Data Analysis, Chapter 4 TEMPORAL DATA AND REAL-TIME ALGORITHMS (2/2 real-time algorithms)
*Illarionov, Boris*. Report on Frontiers of Massive Data Analysis, Chapter 6|

h3. May, 2017

|3|-*Prokopchik, Konstantin*. Report on Frontiers of Massive Data Analysis, Chapter 9 HUMAN INTERACTION WITH DATA.-
*Frolov, Ilja*. Report on Frontiers of Massive Data Analysis, Chapter 7 BUILDING MODELS FROM MASSIVE DATA.|
|17|*Nemchaninov, Alexander*. Reinforcement learning by combining logics and NN.
*Prokopchik, Konstantin*. Report on Frontiers of Massive Data Analysis, Chapter 9 HUMAN INTERACTION WITH DATA.|
|24|*Raghuwanshi, Vipul*. Report on Frontiers of Massive Data Analysis, Chapter 8 Sampling and massive data.| data|