Deliver an ML Solution in Days with AWS SageMaker
DURATION:
53 min
FORMAT:
Demo,Presentation
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.
Доступ до вебінару
Схожі записи
Engage with SoftServe’s industry and technology experts at meetups, conferences and online events
Adoption of FHIR for Data Interoperability
Healthcare,Presentation
Enhancing Robotic Perception: Synthetic Data Generation using Omn...
Nvidia,Presentation
Next Generation IoTs in the Oil and Gas Industry
Energy, Oil & Gas,Presentation
Disrupting the Insurance Marketplace
Interview,Tech Talks