Seminars schedule » History » Version 20
Version 19 (Evgeniy Pavlovskiy, 2017-04-20 08:33) → Version 20/552 (Evgeniy Pavlovskiy, 2017-04-20 08:34)
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)|
|26|*Beloglazov, Dmitry*. Machine Learning tasks for Music Composing. Several topics for master's capstone project.
*Firsov, |26|*Firsov, Artemiy*. Report on Frontiers of Massive Data Analysis, Chapter 4 TEMPORAL DATA AND REAL-TIME ALGORITHMS (2/2 real-time algorithms)
*Frolov, Ilja*. Report on Frontiers of Massive Data Analysis, Chapter 7 BUILDING MODELS FROM MASSIVE DATA.| DATA .
*Beloglazov, Dmitry*. Machine Learning tasks for Music Composing. Several topics for master's capstone project.|
h3. May, 2017
|3|*Prokopchik, Konstantin*. Report on Frontiers of Massive Data Analysis, Chapter 9 HUMAN INTERACTION WITH DATA.
*Illarionov, Boris*. Report on Frontiers of Massive Data Analysis, Chapter 6|
|17|*Nemchaninov, Alexander*. Reinforcement learning by combining logics and NN.|
|24|*Raghuwanshi, Vipul*. Report on Frontiers of Massive Data Analysis, Chapter ??|
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)|
|26|*Beloglazov, Dmitry*. Machine Learning tasks for Music Composing. Several topics for master's capstone project.
*Firsov, |26|*Firsov, Artemiy*. Report on Frontiers of Massive Data Analysis, Chapter 4 TEMPORAL DATA AND REAL-TIME ALGORITHMS (2/2 real-time algorithms)
*Frolov, Ilja*. Report on Frontiers of Massive Data Analysis, Chapter 7 BUILDING MODELS FROM MASSIVE DATA.| DATA .
*Beloglazov, Dmitry*. Machine Learning tasks for Music Composing. Several topics for master's capstone project.|
h3. May, 2017
|3|*Prokopchik, Konstantin*. Report on Frontiers of Massive Data Analysis, Chapter 9 HUMAN INTERACTION WITH DATA.
*Illarionov, Boris*. Report on Frontiers of Massive Data Analysis, Chapter 6|
|17|*Nemchaninov, Alexander*. Reinforcement learning by combining logics and NN.|
|24|*Raghuwanshi, Vipul*. Report on Frontiers of Massive Data Analysis, Chapter ??|