Machine Learning in the Analysis and Forecasting of...

Main
Computers - Cybernetics
Machine Learning in the Analysis and...

Machine Learning in the Analysis and Forecasting of Financial Time Series

Name: Machine Learning in the Analysis and Forecasting of Financial Time Series
ISBN: 9781527583245

Jaydip Sen, Sidra Mehtab

1.0 / 5.0

0 comments

你有多喜欢这本书？

下载文件的质量如何？

下载该书，以评价其质量

下载文件的质量如何？

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 frameworks. The book will be particularly useful for advanced postgraduate and doctoral students of finance, economics, econometrics, statistics, data science, computer science, and information technology.

种类:

Computers - Cybernetics

年:

2022

出版社:

Cambridge Scholars Publishing

语言:

english

页:

384

ISBN 10:

1527583244