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BUILDING A PREDICTIVE
ANALYTICS SOLUTION
WITH AZURE ML
Fidan Boylu Uz &
Syed Fahad Allam Shah
O P E N
D A T A
S C I E N C ...
Building a predictive analytics
solution with Azure ML
Fidan Boylu Uz, Ph.D
Syed Fahad Allam Shah, Ph.D
Data Scientists, M...
1 1 5 4 3
7 5 3 5 3
5 5 9 0 6
3 5 2 0 0
Predicting future performance from historical data
Recommenda-
tion engines
Advertising
analysis
Weather
forecasting for
b...
This is Karl.
Karl owns a company that
operates vending machines in
Washington.
His job is to make sure that his 100
vendi...
Sadly, vending machine will
occasionally break & may take up to
7 days to fix, thus hurting sales.
To eliminate this occur...
1. Which Machines Have Lost Sales?
2. Which Machines Have Failed?
Cloud
Stream Analytics
API Link
Event Hubs
Data Factory
Azure Machine Learning
Power BI
Excel
Field Data
Microsoft
Azure P...
ML
Studio
API
M






Setup Cloud
Environment
Load Data
Explore Data
Engineer Features
Sample Data
Build Model Deploy Model Consume Model
Setup Cloud
Environment
Load Data
Explore Data
Engineer Features
Sample Data
Build Model Deploy Model Consume Model









Setup Cloud
Environment
Load Data
Explore Data
Engineer Features
Sample Data
Build Model Deploy Model Consume Model
Building a Predictive Analytics Solution with Azure ML
Building a Predictive Analytics Solution with Azure ML
Building a Predictive Analytics Solution with Azure ML
Building a Predictive Analytics Solution with Azure ML
Building a Predictive Analytics Solution with Azure ML
Building a Predictive Analytics Solution with Azure ML
Building a Predictive Analytics Solution with Azure ML
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Building a Predictive Analytics Solution with Azure ML

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Create and operationalize a predictive model using Microsoft Azure Machine Learning.

– Perform the typical steps involved in building a predictive analytics solution such as data ingestion, data cleansing, data exploration, feature engineering, model selection and evaluation of model results

–learn how to use machine learning with big data scenarios using tools like Hadoop and SQL Server to process and work with such data.

Published in: Technology
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Building a Predictive Analytics Solution with Azure ML

  1. 1. BUILDING A PREDICTIVE ANALYTICS SOLUTION WITH AZURE ML Fidan Boylu Uz & Syed Fahad Allam Shah O P E N D A T A S C I E N C E C O N F E R E N C E_ BOSTON 2015 @opendatasci
  2. 2. Building a predictive analytics solution with Azure ML Fidan Boylu Uz, Ph.D Syed Fahad Allam Shah, Ph.D Data Scientists, Microsoft
  3. 3. 1 1 5 4 3 7 5 3 5 3 5 5 9 0 6 3 5 2 0 0
  4. 4. Predicting future performance from historical data Recommenda- tion engines Advertising analysis Weather forecasting for business planning Social network analysis IT infrastructure and web app optimization Legal discovery and document archiving Pricing analysis Fraud detection Churn analysis Equipment monitoring Location-based tracking and services Personalized Insurance Predictive analytics should address the likelihood of something happening in the future, even if it is just an instant later…
  5. 5. This is Karl. Karl owns a company that operates vending machines in Washington. His job is to make sure that his 100 vending machines are selling drinks & obtaining revenue. Karl wants revenue to always be high & his business to be profitable
  6. 6. Sadly, vending machine will occasionally break & may take up to 7 days to fix, thus hurting sales. To eliminate this occurrence, Karl must maintain operations & figure out the best way to utilize resources in order to optimize revenue.
  7. 7. 1. Which Machines Have Lost Sales? 2. Which Machines Have Failed?
  8. 8. Cloud Stream Analytics API Link Event Hubs Data Factory Azure Machine Learning Power BI Excel Field Data Microsoft Azure Portal Blob Storage
  9. 9. ML Studio API M
  10. 10.      
  11. 11. Setup Cloud Environment Load Data Explore Data Engineer Features Sample Data Build Model Deploy Model Consume Model
  12. 12. Setup Cloud Environment Load Data Explore Data Engineer Features Sample Data Build Model Deploy Model Consume Model
  13. 13.         
  14. 14. Setup Cloud Environment Load Data Explore Data Engineer Features Sample Data Build Model Deploy Model Consume Model

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