1. Getting Started with Microsoft Azure Machine Learning
Buck Woody | Senior Technical Specialist, Microsoft
Scott Klein | Senior Technical Evangelist, Microsoft
Seayoung Rhee | Senior Technical Product Manager, Microsoft

2. Course Topics Getting Started with AzureML
01 | An Introduction to Machine Learning and AzureML Studio
02 | Designing a Recommender Solution with AzureML
03 | Monetizing your AzureML Application with the Microsoft Azure Marketplace
04 | AzureML API Services and Extensibility Scenarios

3. 04 | AzureML API Services and Extensibility Scenarios
Scott Klein | Senior Technical Evangelist, Microsoft
Seayoung Rhee | Senior Technical Product Manager, Microsoft

4. Module Overview Look at the Azure ML API Service
Use the Azure ML API Service

5. What if… Traditional barriers were removed
Deploy in minutes
Any data/any device
Expand your reach
What if…
Traditional barriers were removed
A data science economy was emerging
You could start today
Would you be a part of it?

6. API examples Difference in Proportions Test
Lexicon Based Sentiment Analysis
Forecasting-Exponential Smoothing
Forecasting - ETS+STL
Forecasting-AutoRegressive Integrated Moving Average (ARIMA)
Normal Distribution Quantile Calculator
Normal Distribution Probability Calculator
Normal Distribution Generator
Binomial Distribution Probability Calculator
Binomial Distribution Quantile Calculator
Binomial Distribution Generator
Multivariate Linear Regression
Survival Analysis
Binary Classifier
Cluster Model
And more on datamarket.azure.com
© 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

7. The rest is up to you Sensor data analysis Buyer propensity models
Social network analysis
Predictive maintenance
Search engine optimization
Churn analysis
Natural resource exploration
Weather forecasting
Healthcare outcomes
Fraud detection
Life sciences research
Targeted advertising
Network intrusion detection
Smart meter monitoring

8. Get started at azure.com/ml
11/17/2018 2:06 AM
Check out the Machine Learning marketplace at datamarket.azure.com
Learn how to on-board to the marketplace off azure.com at Machine Learning Center
Visit the Microsoft booth to talk to the team
Stay tuned to our Azure ML blog
Get started at azure.com/ml
© 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.