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 AutoML to build a high-quality model by automating algorithm selection and hyperparameter selection. Automated machine learning (AutoML) for dataflows enables business analysts to train, validate, and invoke Machine Learning (ML) models directly in Power BI. It includes a simple experience for creating a new ML model where analysts can use their dataflows to specify the input data for training the model.
Agenda:
- Gain a deeper understanding of Microsoft AutoML 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.
Book a consult at your convenience
Your specialist

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.