Network Architecture

Exploration and Practice of Deep Learning Application in AMAP ETA

This article summarizes the exploration and practice of applying deep learning to predict estimated time of arrival (ETA) in AMAP.

AMAP on the Go: Effective Ways to Respond to Customer Feedback

This article describes how AMAP uses machine learning to automate and improve the efficiency of processing large amounts of user intel.

From RxJS to Flink: Processing Data Streams

This article describes how to use reactive programming in frontend development with a news website as an example.