Talk in English - UK at Highload fwdays '18
Track Name:
Main stage
Short URL: https://joind.in/talk/9a308
(QR-Code (opens in new window))
What is the most difficult part of the machine learning process? Data collection? Feature Engineering? Model selection and tuning? Deploy and monitoring? What if you have a whole bunch of models, and business requires you to continuously improve, experiment, re-train and integrate models? And what if you are not even a Data Scientist?
In this talk:
How to not be drown in chaos, and build structured ML-integration process in a large company
Taking a close look at what can be automated (spoiler: everything)
Discussing "conveyor" taking ideas as input can make a great impact on business metrics, through fast and convenient machine learning integration
What can we achieve by using very basic and simple models
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