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[D] How does your machine learning algorithm are indrustialized ?

Hello r/MachineLearning,

Disclaimer, I am a data engineer. I hope this post have its place here, I apologies in advanced if not.

What is your experience regarding the industrialization of your ML code ? Who do you collaborate with?

I will start : I’ve worked with data scientists to release in production machine learning pipeline. We have been improving our collaboration over the past year, and thus delivering more efficiently. First by drafting a blue print of a machine learning pipeline, then converging on common tools, finally by sharing our knowledges on our different skills.

Our shared tech stack is mainly: BigQuery, Apache Beam (to distribute the preprocessing), docker, tensorflow/Keras, Apache airflow.

This has lead to data scientists being more autonomous regarding scalability.

I think collaboration is the key.

EDIT : cleaning, removing medium link.

submitted by /u/schrute_dataeng
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.