Korosov A. R, Keras, and others // Principy èkologii. 2023. № 3. P. 97‒99. DOI: 10.15393/j1.art.2023.14122


Issue № 3

Synopsis

pdf-version

R, Keras, and others

Korosov
   Andrey Victorovich
DSc, professor, Petrozavodsk State University, Petrozavodsk, Lenin st., 33, korosov@psu.karelia.ru
Received on: 29 September 2023
Published on: 02 October 2023

References

Mastickiy S. E. Shitikov V. K. Statistical analysis and data visualization using R. M.: DMK Press, 2015. 496 p. URL: http://www.ievbras.ru/ecostat/Kiril/R/MS_2014/MS_2014.pdf (data obrascheniya: 12.02.2021).

Menshutkin V. V. The art of modeling. Petrozavodsk; SPb., 2010. 4119 p. URL: http://resources.krc.karelia.ru/krc/doc/publ2010/Model.pdf (data obrascheniya: 12.02.2021).

Odum Yu. Basics of ecology. M.: Mir, 1975. 740 p. URL: https://www.studmed.ru/odum-yu-osnovy-ekologii_354f83a9816.html.

Shitikov V. K. Mastickiy S. E. Classification, regression and other Data Mining algorithms using R. 2017. 351 p. URL: https://www.twirpx.org/file/2203014/, https://ranalytics.github.io/data-mining/, https://github.com/ranalytics/data-mining (data obrascheniya: 12.02.2023).

Shitikov V. K. Rozenberg G. S. Randomization and bootstrap: statistical analysis in biology and ecology using R. Tol'yatti: Kassandra, 2013. 314 p. URL: http://www.ievbras.ru/download/Random.pdf (data obrascheniya: 12.02.2023).

Sholle F. Deep learning with R and Keras. M.: DMK Press, 2022. 646 p. URL: https://coollib.net/b/627871-fransua-sholle-glubokoe-obuchenie-s-r-i-keras (data obrascheniya: 26.07.2021).

Displays: 673; Downloads: 108;