全文链接 ：http://tecdat.cn/?p=28126

原文出处：拓端数据部落公众号

within the consumer market,With the growth of the middle class、Demographic changes and the maturation of younger consumer groups,The demand for insurance plans has shifted from the single basic insurance of the past to high quality、New standards and specialization for differentiation.

The selection process for insurance has also shifted from personal advice from sellers to a new voyage of proactive access to insurance information,That is, the number of valid information、有效消费、在线讨论、Comprehensive experience assessment.

视频：2021Years of digital insights into the insurance industry

参考文献：

BCG&腾讯营销洞察：2021Annual Insurance Industry Digital Insights White Paper（附下载）.PDF

最受欢迎的见解

1.R语言实现CNN（卷积神经网络）模型进行回归

2.r语言实现拟合神经网络预测和结果可视化

3.python用遗传算法-神经网络-模糊逻辑控制算法对乐透分析

4.R语言结合新冠疫情COVID-19股票价格预测：ARIMA,KNN和神经网络时间序列分析

5.Python TensorFlow循环神经网络RNN-LSTM神经网络预测股票市场价格时间序列和MSE评估准确性

6.Matlab用深度学习长短期记忆（LSTM）神经网络对文本数据进行分类

7.用于NLP的seq2seq模型实例用Keras实现神经机器翻译

8.R语言用FNN-LSTM假近邻长短期记忆人工神经网络模型进行时间序列深度学习预测

9.Python用RNN循环神经网络：LSTM长期记忆、GRU门循环单元、回归和ARIMA对COVID-19新冠疫情新增人数时间序列预测