| Table | Card | RUSMARC | |
|
|
Allowed Actions: –
Action 'Read' will be available if you login or access site from another network
Action 'Download' will be available if you login or access site from another network
Group: Anonymous Network: Internet |
Annotation
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.
Document access rights
| Network | User group | Action | ||||
|---|---|---|---|---|---|---|
| ILC SPbPU Local Network | All |
|
||||
| Internet | Authorized users SPbPU |
|
||||
|
Internet | Anonymous |
Table of Contents
- 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
Usage statistics
|
|
Access count: 0
Last 30 days: 0 Detailed usage statistics |