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Industrial Machine Learning: Building scalable distributed machine learning pipelines with Python


This talk would provide useful and practical understanding on how to build industry-ready machine learning models in python through distributed, horizontally-scalable architectures. I will include why and when these architectures are required, best practices, caveats, technologies to use them, and a practical implementation using celery + rabbitmq.


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