It takes the average reader to read Machine Learning in the Analysis and Forecasting of Financial Time Series by Jaydip Sen
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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.
Machine Learning in the Analysis and Forecasting of Financial Time Series by Jaydip Sen is 0 pages long, and a total of 0 words.
This makes it 0% the length of the average book. It also has 0% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes to read Machine Learning in the Analysis and Forecasting of Financial Time Series aloud.
Machine Learning in the Analysis and Forecasting of Financial Time Series is suitable for students ages 2 and up.
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