
Time Series Forecasting
An Applied Machine Learning Approach
Francesca Lazzeri(Author)
O'Reilly (Publisher)
Book
Paperback/Softback
300 pages
978-1-4920-4966-1 (ISBN)
Description
Learn how to build and operationalize machine learning forecast models for your everyday projects. With this practical book, experienced and novice data scientists, business analysts, and AI developers will learn the steps necessary for building, training, and deploying time series forecasting models for their organizations.
Time series data is an invaluable source of information used for future strategy and planning operations in several industries. From finance to education and health care, time series forecasting plays a major role in unlocking business insights with respect to time. During the past few decades, machine learning model-based forecasting has become popular in both the private and the public decision-making process.
Time series data is an invaluable source of information used for future strategy and planning operations in several industries. From finance to education and health care, time series forecasting plays a major role in unlocking business insights with respect to time. During the past few decades, machine learning model-based forecasting has become popular in both the private and the public decision-making process.
More details
Language
English
Place of publication
Sebastopol
United States
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 233 mm
Width: 178 mm
ISBN-13
978-1-4920-4966-1 (9781492049661)
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Schweitzer Classification