Machine Learning in the Analysis and Forecasting of Financial Time Series.
This book is a collection of real-world cases, illustrating how to handle challenging and volatile financial time series data for a better understanding of their past behavior and robust forecasting of their future movement. It demonstrates how the concepts and techniques of statistical, econometric...
| Главный автор: | |
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| Другие авторы: | |
| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
Newcastle-upon-Tyne
Cambridge Scholars Publishing,
2022.
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| Предметы: | |
| Online-ссылка: | EBSCOhost Перейти в каталог НБ ТГУ |
| LEADER | 02033cam a2200361Ki 4500 | ||
|---|---|---|---|
| 001 | koha001014716 | ||
| 003 | OCoLC | ||
| 005 | 20250222070044.0 | ||
| 006 | m d | ||
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| 008 | 220507s2022 enk o ||| 0 eng d | ||
| 035 | |a koha001014716 | ||
| 040 | |a EBLCP |b eng |e rda |c EBLCP |d N$T |d YDX | ||
| 020 | |a 9781527583252 |q electronic book | ||
| 020 | |a 1527583252 |q electronic book | ||
| 050 | 4 | |a HG4515.5 |b .S46 2022 | |
| 082 | 0 | 4 | |a 332.640285 |2 23/eng/20220701 |
| 049 | |a MAIN | ||
| 100 | 1 | |a Sen, Jaydip. |9 914363 | |
| 245 | 1 | 0 | |a Machine Learning in the Analysis and Forecasting of Financial Time Series. |
| 264 | 1 | |a Newcastle-upon-Tyne |b Cambridge Scholars Publishing, |c 2022. | |
| 300 | |a 1 online resource (384 p.) | ||
| 505 | 0 | |a Intro -- Dedication -- Table of Contents -- List of Figures -- List of Tables -- Preface -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 -- Chapter 6 -- Chapter 7 -- Contributors | |
| 520 | |a This book is a collection of real-world cases, illustrating how to handle challenging and volatile financial time series data for a better understanding of their past behavior and robust forecasting of their future movement. It demonstrates how the concepts and techniques of statistical, econometric, machine learning, and deep learning are applied to build robust predictive models, and the ways in which these models can be used for constructing profitable portfolios of investments. All the concepts and methods used here have been implemented using R and Python languages on TensorFlow and Keras. | ||
| 653 | 0 | |a Artificial intelligence |x Financial applications. | |
| 655 | 0 | |a EBSCO eBooks |9 905790 | |
| 655 | 4 | |a Electronic books. |9 899821 | |
| 700 | 1 | |a Mehtab, Sidra. |9 914364 | |
| 856 | 4 | 0 | |3 EBSCOhost |u https://www.lib.tsu.ru/limit/2023/EBSCO/3277060.pdf |
| 856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1014716 | ||
| 910 | |a EBSCO eBooks | ||
| 999 | |c 1014716 |d 1014716 | ||
| 039 | |||
