Streaming Machine Learning with Apache Kafka and TensorFlow (without a Data Lake)
Streaming Machine Learning with Apache Kafka and TensorFlow (without a Data Lake)
Kai Waehner
A presentation from ApacheCon @Home 2020
Machine Learning (ML) is separated into model training and model inference. ML frameworks typically load historical data from a data store like HDFS or S3 to train models. This talk shows how you can avoid such a data store by ingesting streaming data directly via Apache Kafka from any source system into TensorFlow for model training and mod
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