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Machine Learning for Time Series Forecasting with Python (Paperback)
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Machine Learning for Time Series Forecasting with Python (Paperback)
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Learn how to apply the principles of machine learning to time
series modeling with this indispensable resource Machine Learning
for Time Series Forecasting with Python is an incisive and
straightforward examination of one of the most crucial elements of
decision-making in finance, marketing, education, and healthcare:
time series modeling. Despite the centrality of time series
forecasting, few business analysts are familiar with the power or
utility of applying machine learning to time series modeling.
Author Francesca Lazzeri, a distinguished machine learning
scientist and economist, corrects that deficiency by providing
readers with comprehensive and approachable explanation and
treatment of the application of machine learning to time series
forecasting. Written for readers who have little to no experience
in time series forecasting or machine learning, the book
comprehensively covers all the topics necessary to: Understand time
series forecasting concepts, such as stationarity, horizon, trend,
and seasonality Prepare time series data for modeling Evaluate time
series forecasting models' performance and accuracy Understand when
to use neural networks instead of traditional time series models in
time series forecasting Machine Learning for Time Series
Forecasting with Python is full real-world examples, resources and
concrete strategies to help readers explore and transform data and
develop usable, practical time series forecasts. Perfect for
entry-level data scientists, business analysts, developers, and
researchers, this book is an invaluable and indispensable guide to
the fundamental and advanced concepts of machine learning applied
to time series modeling.
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