论文标题
使用机器学习和贝叶斯推断的商业时间序列分析
Analytics of Business Time Series Using Machine Learning and Bayesian Inference
论文作者
论文摘要
在调查中，我们考虑了销售时间序列预测的案例研究，这是使用时间趋势校正，动态价格和供应优化的深度学习方法，使用Q学习，比特币价格建模，COVID-19，COVID-19，使用社交网络在分析中使用社交网络信号。已经分析了机器学习和贝叶斯推断在预测分析中的使用。
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.
