A machine learning model that does not work in production is worth nothing. Deploying machine learning applications in production is challenging, as it requires a fair bit of engineering effort to setup the server infrastructure and also to maintain it. This is not a skill that all data scientists may possess.
In this session Anand Chitipothu, Co-founder of rorodata, presents how the complexity of managing production servers can be abstracted away using rorolite, an open-source command-line tool that takes care of provisioning servers, starting notebooks, running scripts, deploying APIs, wiring the URL endpoints, etc. with simple commands.
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