Azure Data Science services empower data scientists and developers with a wide range of productive experiences to build, train, and deploy machine learning models and foster team collaboration.
Topics Covered
A deeper dive into the Azure Machine learning Service to build integrated, end-to-end Azure data science and advanced analytics solutions that enable data scientists to prepare data, develop experiments, and deploy models at a cloud-scale.
Agenda:
- Gain a deeper understanding of Microsoft Azure ML service functionality and limitations.
- Understand how the different components of ML implementation can fit together using this tool.
Disclaimer:
Only work email addresses will be accepted for consult requests. Personal email addresses will not be responded to. Please share as much details as possible for your consult request in the additional information section so our Cloud Solution Architect can design a unique consultation session to best serve you.
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Nimmy Thomas
Nimmy is the Cloud Solution Architect for Data Science responsible for leading AI solutions at DSI. With a bachelor’s in electrical and electronics engineering, Nimmy loves making data talk. She has a unique fondness of statistics which when paired with technology helps uncover hidden opportunities in business and create new versions of the future.