The machine learning allows your application gets smarter and smarter over the time. It can predict more accurately, identify purposes more precisely and it keeps learning by itself.
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by Marvin, Heng
Twitter: @hmheng
Blog: www.techconnect.io
#artificialintelligence #ai #MachineLearning
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AI/ML/DL: Getting Started with Machine Learning on Azure
1. Azure Machine
Learning
Marvin Heng
Blog : http://hmheng.pinsland.com
Twitter : @hmheng
YouTube: http://bit.ly/hmheng_yt
SlideShare: http://bit.ly/hmheng_ss
Github: https://github.com/hmheng
Microsoft
Cognitive Service
2. Who is Marvin?
Software + Web Developer
AI Enthusiast
Blog : http://hmheng.pinsland.com
Twitter : @hmheng
YouTube: http://bit.ly/hmheng_yt
SlideShare: http://bit.ly/hmheng_ss
Github: https://github.com/hmheng
3. Introduction to Machine
Learning
Marvin Heng
Blog : http://hmheng.pinsland.com
Twitter : @hmheng
YouTube: http://bit.ly/hmheng_yt
SlideShare: http://bit.ly/hmheng_ss
Github: https://github.com/hmheng
4. What’s Machine Learning?
• A data science application
• Use Artificial Intelligence (AI)
• Learn from the existing data lake
• Continuously improving itself to predict the future trending,
outcomes or behaviors.
• Learn without being explicitly programmed
• Learn automatically without any human intervention
8. Azure Machine Learning
Studio
Marvin Heng
Blog : http://hmheng.pinsland.com
Twitter : @hmheng
YouTube: http://bit.ly/hmheng_yt
SlideShare: http://bit.ly/hmheng_ss
Github: https://github.com/hmheng
9. Azure Machine Learning
Cognitive Services
Off the shelf, easy to
access, scalable
Azure Machine Learning Studio
GUI development environment,
Accessible, needs some study
Azure Machine Learning Workbench
Powerful, work the way you want.
Remote execute, atomic runs, model
operationalisation. Super custom.
10. Azure Machine Learning Studio
Fully
Managed
Integrated Best-in-Class
Algorithm
Easy to
Deploy
One Portal for
create, view and
update.
No Software &
Hardware to be
managed
Simply Drag & Drop.
No programming for
common tasks.
Built-in collection of
best of breed
algorithms.
Support for R &
Python for
extensibility.
Operationalize
models with single
click.
Create web service
within minutes.
11. How Azure Machine Learning Gets On?
Setup Cloud
Environment
Load
Data
Explore Data
Engineer
Features
Build
Model
Deploy
Model
Consume
Model
12. Machine Learning Data Source
• Azure Blob Storage
• Azure SQL DB
• Azure SQL DW
• Azure Table
• Hadoop Hive Query
• OData Feed
• Web Url
• Desktop Direct Upload
• ….
13. What Would We Need?
1. Microsoft Account for most of the simple use cases.
14. What Would We Need?
2. Azure Subscription – for full SLA and enterprise use case. At the same time, get 12
Months free with popular products and 25 always free products.
15. What Would We Need?
2. Azure Subscription – for full SLA and enterprise use case. At the same time, get 12
Months free with popular products and 25 always free products.