Deliver an ML Solution in Days with AWS SageMaker
Best practices in building large-scale ML systems on Amazon SageMaker
In this session, SoftServe will share design recommendations and best practices in building large-scale machine learning systems on Amazon SageMaker using practical examples and real-life use cases. You will learn how to address modern business and technical challenges as well as how to bridge the gap between data, science, IT, business stakeholders, and end-users.
Engage with SoftServe’s industry and technology experts at meetups, conferences and online events
Healthcare Consumer Engagement
Turn Ideas Into Dollars
ML for Exploration with Amazon SageMaker
Setting the Strategy for Network Optimization