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Interview: Machine Learning with Apache Flink
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Apache Flink ML 2.1 is expected to be released in June 2022 and we take this opportunity to take a look at the state of the things regarding Machine Learning with Apache Flink from Flink committers and the main drivers of Flink ML: Dong Lin and Zhipeng Zhang. Robert Metzger, Software Engineer at decodable and PMC member of Apache Flink asks the questions.
Flink ML is a library which provides machine learning APIs and infrastructures that simplify the building of ML pipelines. Flink ML supports use-cases like predictive intelligence, customer segmentation and many more.
We talk about the machine learning space in general, relevant machine learning projects for Apache Flink and Apache Flink ML itself: What’s the status of the project right now, and what are the plans for the future.
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Flink ML is a library which provides machine learning APIs and infrastructures that simplify the building of ML pipelines. Flink ML supports use-cases like predictive intelligence, customer segmentation and many more.
We talk about the machine learning space in general, relevant machine learning projects for Apache Flink and Apache Flink ML itself: What’s the status of the project right now, and what are the plans for the future.
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Interview: Machine Learning with Apache Flink
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