- Titulinis
- Dalykinė ir mokslinė literatūra
- Machine Learning in the Analysis and Forecasting of Financial Time Series
Machine Learning in the Analysis and Forecasting of Financial Time Series
ISBN: 9781527583245
Autorius : Sidra Mehtab
Leidimo metai: 2022
Puslapių skaičius: 365
Formatas: Kieti viršeliai
Autorius : Sidra Mehtab
Leidimo metai: 2022
Puslapių skaičius: 365
Formatas: Kieti viršeliai
Aprašymas
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.
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