Machine Learning for Time Series Forecasting with Python by Francesca Lazzeri – Ebook Instant Download/Delivery ISBN(s): 9781119682363,1119682363,9781119682387,111968238X
Product details:
- ISBN 10: 111968238X
- ISBN 13: 9781119682387
- Author: Francesca Lazzeri
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.
Table contents:
CHAPTER 1: Overview of Time Series Forecasting
CHAPTER 2: How to Design an End-to-End Time Series Forecasting Solution on the Cloud
CHAPTER 3: Time Series Data Preparation
CHAPTER 4: Introduction to Autoregressive and Automated Methods for Time Series Forecasting
CHAPTER 5: Introduction to Neural Networks for Time Series Forecasting
CHAPTER 6: Model Deployment for Time Series Forecasting
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