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Salary Forecasting Using Neural Network Methods

EasyChair Preprint no. 5573

8 pagesDate: May 20, 2021


The article describes the use of a neural netork to predict the salary range of specialists in the field of programming and development for the Novosibirsk region. It was proposed to use the "Deductor" analyticai platform as a data analysis tool. Basic information about the arhitecture of the neural netork is presented, and the most significant parameters that have the greatest impact on the expected salary are identified.

Keyphrases: Big Data, Labour Market Intelligence, machine learning, neural network, заработная плата, интернет, нейронная сеть, прогнозирование

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Natalya Shklyaeva},
  title = {Salary Forecasting Using Neural Network Methods},
  howpublished = {EasyChair Preprint no. 5573},

  year = {EasyChair, 2021}}
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