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Evgeniy Pavlovskiy, 2017-05-10 14:51
Seminar "Big Data Analytics"¶
Schedule 2017, spring
Wednesday, 18:15, cab 5205 NSU new building¶
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. |
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, 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 |
May, 2017¶
| 3 | 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 |