Sept. 6, 2023, 7:47 p.m. | Google AI (noreply@blogger.com)

Google AI Blog ai.googleblog.com



Time series forecasting is critical to various real-world applications, from demand forecasting to pandemic spread prediction. In multivariate time series forecasting (forecasting multiple variants at the same time), one can split existing methods into two categories: univariate models and multivariate models. Univariate models focus on inter-series interactions or temporal patterns that encompass trends and seasonal patterns on a time series with a …

applications architecture chen cloud cloud ai deep learning demand demand forecasting forecasting machine learning mlp multiple multivariate pandemic prediction research researcher research scientist series team time series time series forecasting variants world

Senior AI/ML Developer

@ Lemon.io | Remote

Earthquake Forecasting Post-doc in ML at the USGS

@ U. S. Geological Survey | Remote, US

AI Product Manager

@ Uniphore | New York City

Senior Data Analyst, Marketing & Enrollment

@ Adtalem Global Education | Remote, REMOTE, United States

Data Analyst

@ FinClear | Melbourne, Australia

Senior Data Analyst - Subsurface

@ Verisk | Astana, Kazakhstan