Издательство: " EDP ​​Sciences"

Название:Machine learning methods in finance
Автор ПГУ: Ирина Андреевна   Любовь Борисовна  Тусков Андрей Анатольевич  
Тематика:экономика
Вид ресурса:электронное немультимедийное издание
Тип ресурса:Статья
Целевое назначение:Научно-популярное
Целевая аудитория:Исследователь
Аннотация:This article focuses on supervised learning and reinforcement learning. These areas overlap most with econometrics, predictive modelling, and optimal control in finance. We choose to focus on how to cast machine learning into various financial modelling and decision frameworks. This work introduces the industry context for machine learning in finance, discussing the critical events that have shaped the finance industry’s need for machine learning and the unique barriers to adoption. The finance industry has adopted machine learning to varying degrees of sophistication. Some key examples demonstrate the nature of machine learning and how it is used in practice. In particular, we begin to address many finance practitioner’s concerns that neural networks are a “black-box” by showing how they are related to existing well-established techniques such as linear regression, logistic regression, and autoregressive time series models. Neural networks can be shown to reduce to other well-known statistical techniques and are adaptable to time series data.
Дата издания:2021
Дата загрузки:08.12.2022
Название:Multiple-choice questions and essays in assessing economics
Автор ПГУ:Андросова Ольга Евгеньевна  Влазнева Светлана Алексеевна  
Тематика:педагогика
Вид ресурса:электронное немультимедийное издание
Тип ресурса:Статья
Целевое назначение:Научное
Целевая аудитория:Исследователь
Дата издания:2021
Дата загрузки:28.10.2024
Название:Regional aspects of migration and urbanization in the USSR/Russia in the 20th–21st centuries (using the example of the Penza region)
Автор ПГУ:Сухова Ольга Александровна  Иноземцев Иван Николаевич  
Тематика:история
Вид ресурса:электронная копия бумажного издания
Тип ресурса:Сборник статей, трудов
Целевое назначение:Научное
Целевая аудитория:Исследователь
Аннотация:Based on the analysis of statistical data and office documentation, the processes of mechanical movement of the population of the Penza region in the 1930s-2020s are studied. The subject of the study is to determine the factors, regional specifics and the results of migration activity. The methodological basis of the study is the theory of cyclicality of demographic processes. General scientific methods, methods of descriptive statistics and statistical inference are used. The incentives for migration movement have been identified, among which the key ones are reforms of administrative-territorial division; implementation of programs for mobilization and redistribution of labor resources; coercion as a way to counteract labor absenteeism; processes of urbanization, industrialization, “rejuvenation” of the population (in the context of the agricultural and demographic transitions); evolution of living standards. The regional feature lies in the agrarian nature of the region’s economy and, as a result, in the strengthening of the values of traditional society, which explains the shift in the amplitude of fluctuations and the scale, as well as the change in the directions migration. The chronological and structural limits of interregional and external migration are determined.
Дата издания:2024
Дата загрузки:08.11.2024
Название:The methods of climatization of Orthodox churches
Автор ПГУ:Пономарева Инна Константиновна  
Тематика:техника
Вид ресурса:электронная копия бумажного издания
Тип ресурса:Статья
Целевое назначение:Научное
Целевая аудитория:Исследователь
Дата издания:2023
Дата загрузки:25.09.2023
Название:The process of monitoring the quality of liquid media using a fiber-optic microconverter
Автор ПГУ:Мурашкина Татьяна Ивановна  Бадеев Владислав Александрович  
Тематика:техника
Вид ресурса:электронное немультимедийное издание
Тип ресурса:Статья
Целевое назначение:Научное
Целевая аудитория:Исследователь
Дата издания:2023
Дата загрузки:16.11.2023