Machine Learning for Time Series Forecasting with Python
One of the most important elements of today's decision-making world, in both the public and the private sectors, is the forecasting of macroeconomic and financial variables...
Machine Learning for Time Series Forecasting with Python
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Popis produktu
One of the most important elements of today's decision-making world, in both the public and the private sectors, is the forecasting of macroeconomic and financial variables...
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Parametre produktu
Produkt nemá žiadne parametre.
Popis produktu
One of the most important elements of today's decision-making world, in both the public and the private sectors, is the forecasting of macroeconomic and financial variables. This applies to many industries including finance, education, and health care to name just a few. However, not many business analysts or developers people know how to use machine learning approach and technologies to build successful forecast applications. This book provides a practical introductory guide to time series forecasting with machine learning and Python for those hands-on readers.
Readers new to time series forecasting will be able to understand and deal better with:
Time series forecasting concepts, such as horizon, frequency trend and seasonality.
Evaluation of the time series forecasting models performance and accuracy. Understanding when to use neural networks
Chýba alebo je nepravdivý niektorý dôležitý parameter? Uvedené informácie sú len orientačné, pred nákupom vo vybranom obchode odporúčame overiť, že predávaný model má kľúčové vlastnosti podľa vašich požiadaviek. Aj keď sa snažíme o maximálnu presnosť informácií, bohužiaľ nemôžeme zaručiť 100% správnosť. Ceny produktov sú vrátane DPH.
