1. 4/18/2018 3:49 PM
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2. 4/18/2018 3:49 PM
B8068
Machine Learning for Developers How to Build Even More Intelligent Apps and Services
Dan Grecoe
Senior Software Engineer
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3. Machine Learning 4/18/2018 3:49 PM
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4. What Is Machine Learning?
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4/18/2018 3:49 PM
What Is Machine Learning?
Computer systems that become smarter with experience.
“Experience” = past data + human input
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5. Past Data Training Data: A set of samples Sample: A single observation
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4/18/2018 3:49 PM
Past Data
Training Data: A set of samples
Sample: A single observation
Features: Individual columns in our data set
Label: Historical results related to a set of samples
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6. Microsoft Build 2017
4/18/2018 3:49 PM
Human Input
Domain of the Data Scientist and Subject Matter Expert to determine if the data meets these criteria:
Relevant
Connected
Accurate
Enough of it
….and a sharp question….
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7. Machine Learning Problems
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4/18/2018 3:49 PM
Machine Learning Problems
Prediction
Classification
Anomaly
Clustering
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8. Choose your path…. 4/18/2018 3:49 PM
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9. Option A – Prebuilt Solutions
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4/18/2018 3:49 PM
Option A – Prebuilt Solutions
Cognitive Services API
5 Categories with 10+ API’s ready to go
Consumed through a REST API
Azure Gallery
Pre-built Azure Machine Learning experiments
Allows customization for specific needs
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10. Option B – Manual Solutions
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4/18/2018 3:49 PM
Option B – Manual Solutions
Microsoft R Server
Build models in R
Scalable with SPARK, Hadoop, and HDFS
Consumed through a REST API (DEPLOYR)*
Azure Machine Learning Studio
Visual composition and sharable workspaces online.
Supports R/Python
Consumed through a REST API
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11. Option B – Manual Solutions (cont’d)
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4/18/2018 3:49 PM
Option B – Manual Solutions (cont’d)
Cognitive Toolkit and Tensor Flow
More complex and more powerful typically associated with deep learning scenarios.
Create portable models that can be called through customized code.
Can run in many places, not just cloud.
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12. Option C – Combined Solutions
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4/18/2018 3:49 PM
Option C – Combined Solutions
Seamlessly blend technologies to achieve project success
Example : Azure Data Lake Analytics
U-SQL based
Supports native C# code in query directly
Extensible with R, Python, and Cognitive Services
Use Visual Studio to craft and execute queries*
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13. 4/18/2018 3:49 PM
Demo
Dan Grecoe
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14. Pipeline Architecture
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4/18/2018 3:49 PM
Pipeline Architecture
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15. 4/18/2018 3:49 PM
To the portal…
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16. Resources Re-visit Build session recordings on Channel 9.
4/18/2018 3:49 PM
Resources
Re-visit Build session recordings on Channel 9.
Continue your education at Microsoft Virtual Academy online.
Cortana Intelligence Suite:
AML Studio:
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17. Related sessions Sessions Coming Up Talks Available Online Soon
Microsoft Build 2017
4/18/2018 3:49 PM
Related sessions
Sessions Coming Up
Friday 12:30 - Let Knowledge APIs utilize the power of the web to improve your apps
Friday 2:00 - Deep learning with Microsoft Cognitive Toolkit
Talks Available Online Soon
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
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18. 4/18/2018 3:49 PM
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.