Rafferty Forecasting Time Series Data with Facebook Prophet

Build, improve, and optimize time series forecasting models using the advanced forecasting tool
1. Auflage 2021
ISBN: 978-1-80056-652-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 270 Seiten

No detailed description available for "Forecasting Time Series Data with Facebook Prophet".

Autoren/Hrsg.

Rafferty, Greg

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - The History and Development of Time Series Forecasting
- Getting Started with Facebook Prophet
- Non-Daily Data
- Seasonality
- Holidays
- Growth Modes
- Trend Changepoints
- Additional Regressors
- Outliers and Special Events
- Uncertainty Intervals
- Cross-Validation
- Performance Metrics
- Productionalizing Prophet

Über Autor(innen)

Rafferty Greg:
Greg Rafferty is a data scientist at Google in San Francisco, California. With over a decade of experience, he has worked with many of the top firms in tech, including Facebook (Meta) and IBM. Greg has been an instructor in business analytics on Coursera and has led face-to-face workshops with industry professionals in data science and analytics. With both an MBA and a degree in engineering, he is able to work across the spectrum of data science and communicate with both technical experts and non-technical consumers of data alike.