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Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR
book

Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR

by Joos Korstanje
July 2021
Intermediate to advanced
294 pages
5h 42m
English
Apress
Content preview from Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021
J. KorstanjeAdvanced Forecasting with Pythonhttps://doi.org/10.1007/978-1-4842-7150-6_1

1. Models for Forecasting

Joos Korstanje1  
(1)
Maisons Alfort, France
 

Forecasting, grossly translated as the task of predicting the future, has been present in human society for ages. Whether it is through fortune-tellers, weather forecasts, or algorithmic stock trading, man has always been interested in predicting what the future holds.

Yet forecasting the future is not easy. Consider fortune-tellers, stock market gurus, or weather forecasters: many try to predict the future, but few succeed. And for those who succeed, you will never know whether it was luck or skill.

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Publisher Resources

ISBN: 9781484271506Purchase LinkPublisher Website