Seminars schedule » History » Revision 23
Revision 22 (Evgeniy Pavlovskiy, 2017-04-26 20:33) → Revision 23/552 (Evgeniy Pavlovskiy, 2017-05-10 14:51)
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) 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, |3|*Prokopchik, Konstantin*. Report on Frontiers of Massive Data Analysis, Chapter 9 HUMAN INTERACTION WITH DATA.- 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.| NN.| |24|*Raghuwanshi, Vipul*. Report on Frontiers of Massive Data Analysis, Chapter 8 Sampling and massive data|