The document discusses Azure Machine Learning. It begins with an overview of machine learning and key concepts like labels, features, and algorithms. It then defines Azure Machine Learning as a cloud service for creating and deploying predictive models with an integrated drag-and-drop interface and no software to install. The Azure Machine Learning ecosystem is explained, including getting data, building experiments, evaluating models, and publishing web services. Finally, a demo is described that uses calorie data to create a predictive model and publish it as a REST API for consumption.

1. Azure Machine Learning
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August2017

2. Omar Abu Shaqra
omar@practiceazure.com
@oaboshaqra
/Omar-abu-shaqra
Omar Abu Shaqra
Practice Azure

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4. Agenda
• Data Insight Overview
• What is Machine Learning
• Machine Learning Algorithm
• Labels Vs Features
• What is Azure Machine Learning
• Azure Machine Learning Ecosystem
• Demo
• Q & A

5. Data Insight Overview
Insight is the value obtained through the use of analytics

6. Data Insights Overview
Value

7. What is Machine Learning
Using known data, develop a model to predict unknown data.
• Accurate
• Relevant
• Connected
• Enough to work with

8. Questions can be answered by Data Science
Question Algorithm Business Cases
Is it A or B? Classification Algorithm
(Supervised)
Two Class Classification
Multi Class Classification
Is This Weird? Anomaly Detection
(Supervised Or
Unsupervised)
Credit Card
Gauge Measures (Tiers)
Internet Messages
How Much or How Many? Regression Algorithm
(Supervised)
Temperature forecast
Calories Consumption
Sales Amounts
How is this organized? Clustering Algorithm
(Unsupervised)
Movie Recommendation
Restaurant
Recommendation
What should I do next? Reinforcement Learning
Algorithm
(Unsupervised)
Adjust Machine Size
Adjust Temperatures

9. Machine Learning Algorithms
Classification Regression Anomaly
Detection
Clustering
Supervised Unsupervised Supervised Supervised or
Unsupervised

10. Known data
Data instance
{40, (180, 82), (30), 70, …..} : Calories
Age Height/Weight
Duration
Hearth Rate
LabelFeatures
Feature Vector
Labels Vs Features
F(40,180,92,….,xi) =Y

11. What Is Azure Machine Learning?
Azure Machine Learning is a cloud predictive analytics service that makes it
possible to quickly create and deploy predictive models as analytics solutions.
Fully
managed
Integrated Flexible Deploy in
minutes
No software to install, no
hardware tomanage, all
you need is an
Azure subscription.
Drag, drop and connect
interface. Data sources
with just a drop down; run
across any data.
Built-in collection of best of
breed algorithms with no
coding required. Drop in
custom R or use popular
CRAN packages.
Operationalize models as
web services with a single
click.
Monetize in Machine
Learning Marketplace.

12. Azure Machine Learning Ecosystem
Get/Prepare
Data
Build/Edit
Experiment
Create/Update
Model
Evaluate
Model
Results
Publish Web
Service
Build ML Model Deploy as Web ServiceProvision Workspace
Get Azure
Subscription
Create
Workspace
Publish an App
Azure Data
Marketplace

13. Demo: Calories Predictor
• Create Azure Machine Learning Workspace
• Import Datasets
• Create Training Experiment
• Create Predictive Experiment
• Publish Predictive Experiment as REST API
• Consume REST API Using Excel
• Implement Business Scenario to consume REST API

14. Thank You
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Q&A