  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.
