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Microsoft
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CentersMicrosoft
Technology
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Jarek Kazmierczak
Microsoft Technology Center
Microsoft
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In God we trust, all others bring data.
William Edwards Deming (1900-1993)
Microsoft
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The opportunity is bigger than you may think
$1.6T data dividend available
to businesses that embrace data
over the next four years
speed
More people
New analytics
Diverse data
Data source: Microsoft & IDC, April 2014
Microsoft
Technology
CentersThe world of data has changed
Microsoft
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Advanced AnalyticsBeyond business intelligence
Descriptive Analytics
DiagnosticAnalytics
Predictive Analytics
Prescriptive Analytics
Microsoft
Technology
Centers Powerful, familiar analytical tools for everyone
Microsoft
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Centers
Internal & external
Dashboards Ask Mobile
Information
management Prediction
Data
ReportsApplications
Orchestration
Relational
StreamingNon-relational
Query
Microsoft
Technology
Centers What is the Internet of Things?
Connectivity Data AnalyticsThings
Microsoft
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Microsoft
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Centers Canonical IoT Infrastructure
Microsoft
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Microsoft
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Prediction is very difficult, especially
about the future.
Niels Bohr (1885-1962)
Microsoft
Technology
CentersWhat is Machine Learning ?
• Arthur Samuel (1959). Machine Learning: Field of study that gives computers
ability to learn without being explicitly programmed
• Tom Mitchell (1998). Well-posed Learning Problem: A computer program is said
to learn from experience E with respect to some task T and some performance
measure P, if its performance on T, as measured by P, improves with experience E.
• Chris Bishop (2006). The field of pattern recognition is concerned with automatic
discovery of regularities in data through the use of computer algorithms and with
the use of these regularities to take actions such as classifying the data to
different categories.
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Microsoft
Technology
CentersWhen is Machine Learning used?
• A pattern exists
• We cannot pin it down
mathematically
• We have data on it
• Learn it when you can’t code it
• Learn it when you can’t scale it
• Learn it when you have to
adapt/personalize
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Microsoft
Technology
CentersExamples of Machine Learning applications
• Hospital readmissions.
• Stock price prediction.
• Character recognition.
• Health risk factors
identification
• Genomics
• Smart buildings
• Predictive maintenance
• Sales forecasting
• Demand forecasting
• Fraud detection
• Credit risk management
• User segmentation
• Personalized offers
• Product recommendations
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7 5 3 5 3
5 5 9 0 6
3 5 2 0 0
Microsoft
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CentersReady to build a predictive model?
• How do I translate my business question to a
machine learning task? Or task?
• What data do I need to answer my question?
• Is my data clean?
• How much data do I need?
• Which model to choose? Are neural networks
better than random forests for my problem?
• Are my features right ones?
• Which features have the most predictive
value?
• My data has hundreds of attributes. What do
I do?
• How do I measure my model’s performance?
• When do I know I am done?
• My model performs perfect on my training
data but my client tells me its predictions are
terrible?
• How do I use my model from a smartphone
app?
• ………
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Microsoft
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Establishing Data Science Practice can be Challenging
Specialized skills Complex analytics
Long time to insight Model governance
Microsoft
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Centers Azure ML Streamlines Data Science Process
Marketplace
Collaboration
Scale out
Ease of deployment
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“Nothing is more practical than a good theory”
Vladimir Vapnik
Microsoft
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Microsoft
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CentersMicrosoft Technology Centers
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