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Alibaba Cloud Releases Machine Learning Algorithm Platform on Github

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According to a recent press release, “Alibaba Cloud, the data intelligence backbone of Alibaba Group, today announced that the core codes of Alink, its self-developed algorithm platform, have been made available via open source on Github, the world’s largest developer community. The platform offers a broad range of algorithm libraries that support both batch and stream processing, which is critical for machine learning tasks such as online product recommendation and intelligent customer services. Data analysts and software developers can access the codes on Github (https://github.com/alibaba/alink) to build their own software, facilitating tasks such as statistics analysis, machine learning, real-time prediction, personalized recommendation and abnormality detection.”

The release continues, “Alink was developed based on Flink, a unified distributed computing engine. Based on Flink, Alink has realized seamless unification of batch and stream processing, offering a more effective platform for developers to perform data analytics and machine learning tasks. Not only does it support Alibaba’s proprietary data storage, but also other open-source data storage, such as Kafka, HDFS and HBase. Alink has already been deployed in powering various businesses within the Alibaba ecosystem. For example, it helped increase the click through rate (CTR) of product recommendations by 4% on Alibaba’s e-commerce platform Tmall, during Alibaba’s Global Shopping Festival this year.”

Read more at Real Wire.

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