Machine Learning for developers, how to build even

smarter with experience
“Experience”
 Training Data:
 Sample:
 Features:
 Label:
determine if the data meets these criteria




sharp question
 Cognitive Services API
 Azure Gallery
 Microsoft R Server
 Azure Machine Learning Studio
 Cognitive Toolkit
Tensor Flow
 Seamlessly blend technologies
Azure Data Lake Analytics
Channel 9
Microsoft Virtual Academy
https://www.microsoft.com/enus/cloud-platform/cortana-intelligence-suite
https://studio.azureml.net
 Friday 12:30 - Let Knowledge APIs utilize the power of the web to improve your apps
Deep learning with Microsoft Cognitive Toolkit
 Serving AI with data: How to use R, Python, and machine learning with Microsoft SQL
Server 2017
 How to run AI at Petabyte Scale with cognitive functions in the Azure Data Lake
 Microsoft SQL Server R Services tips and tricks
 Using Visual Studio for Machine Learning
 Built-in machine learning in Microsoft SQL Server 2017 with Python