Analytics of Business Time Series Using Machine Learning and Bayesian Inference

05/25/2022

∙

by   Bohdan M. Pavlyshenko, et al.

∙

0

∙

share

In the survey we consider the case studies on sales time series forecasting, the deep learning approach for forecasting non-stationary time series using time trend correction, dynamic price and supply optimization using Q-learning, Bitcoin price modeling, COVID-19 spread impact on stock market, using social networks signals in analytics. The use of machine learning and Bayesian inference in predictive analytics has been analyzed.