Sachin Chouksey, Wee Hyong Tok. In this talk, we will describe a cloud-centric data science process to go from raw data on premise or in the cloud to operationalized machine learning models using only a browser and elastic resources in Azure using various tools like SQL Server on Azure, Azure VMs, Azure Machine Learning, and Azure HDInsight (Hadoop). Go to https://channel9.msdn.com/ to find the recording of this session.

10. http://aka.ms/nyrides

12. • Desktop files
• Spreadsheets
• Server stores
• Sensors
ML
Studio
API
MMarketplace

15. Setup
Environment
Load Data
Explore Data
Engineer Features
Sample Data
Build Model Deploy Model Consume Model

16. Getting ready for analytics

18. Operationalizing end-to-end
analytics solutions

19. Setup Cloud
Environment
Load Data
Explore Data
Engineer Features
Sample Data
Build Model Deploy Model Consume Model