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Automated Machine Learning: building a conveyor

Talk video

Talk presentation

Data Science

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
Mikhail Ovchinnikov
  • Head of Anti-Spam Team at Badoo
  • Stands on guard for security and safety of users
  • Engaged in machine learning systems integration
  • Building a company-wide machine learning platform
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