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pro vyhledávání: '"Nikita Pilnenskiy"'
Autor:
Nikita Pilnenskiy, Ivan Smetannikov
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 622, Iss 25, Pp 250-256 (2019)
In the last decade, due to the growing interest in neural networks and machine learning in general, the Python programming language became the main language for many data scientists and machine learning engineers. This rapid growth resulted into the
Externí odkaz:
https://doaj.org/article/cf60b07ed73e41ad8c771c6f7367edce
Autor:
Nikita Pilnenskiy, Ivan Smetannikov
Publikováno v:
Future Internet, Vol 12, Iss 3, p 54 (2020)
With the current trend of rapidly growing popularity of the Python programming language for machine learning applications, the gap between machine learning engineer needs and existing Python tools increases. Especially, it is noticeable for more clas
Externí odkaz:
https://doaj.org/article/4999a8951e36476388ccad538e4babc6
Autor:
Ivan Smetannikov, Nikita Pilnenskiy
Publikováno v:
CCRIS
The problem of selecting features for a data set with a small number of objects is one of the most complex ones. Significant features selected for such data sets can vary quite a lot depending on how sub-sampling was performed during validation. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be3cecf27505f86a4c5e22a40b07236b
https://doi.org/10.1145/3437802.3437835
https://doi.org/10.1145/3437802.3437835
Autor:
Ivan Smetannikov, Nikita Pilnenskiy
Publikováno v:
FRUCT
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 622, Iss 25, Pp 250-256 (2019)
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 622, Iss 25, Pp 250-256 (2019)
In the last decade, due to the growing interest in neural networks and machine learning in general, the Python programming language became the main language for many data scientists and machine learning engineers. This rapid growth resulted into the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b6c0f61f1c4ef14fdcca532815d7166
https://doi.org/10.23919/fruct48121.2019.8981498
https://doi.org/10.23919/fruct48121.2019.8981498