Human in the Loop: Building an Ethical and Optimized Stack with Pachyderm and Toloka

Data preparation has always been a tedious and lengthy process for machine learning and artificial intelligence. As teams look to automate this part of the machine learning lifecycle, they must still handle challenges to categorizing and labeling their data. But by using a combination of crowdsourced data labeling and automation, teams can augment their ML capabilities.

In this webinar attendees will learn:

  • What is the Machine Learning Lifecycle
  • Why it’s important to integrate human oversight into ML
  • How you can use a combination of automation and human judgement for a winning stack


Register Here