Azure Machine Learning

1. Azure Machine Learning
Md. Mahedee Hasan
Microsoft MVP , Visual Studio and Development Technologies
Senior Software Architect, Leadsoft Bangladesh Limited
Trainer, Leads Training and Consulting Limited
Microsoft Community Contributor
Blog: http://mahedee.net
MVP | Sr. Software Architect | Trainer | Technical Blogger | MCTS
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What is Machine Learning?

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What is Machine Learning?
Machine Learning is concerned with computer
programs that automatically improve their
performance through experience
Learning is any process by which a system improves
performance from experience

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Why Machine Learning?

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Why Machine Learning?
• Ability to mimic human
and replace certain
monotonous tasks - which
require some intelligence.
• like recognizing
handwritten characters

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Why Machine Learning? …
• Web search page results
• Predictive maintenance
• Spam/Junk email filters
• Various form of pattern recognition
• Predictive analytics for marketing strategy

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Why Machine Learning? …
• Life Insurance
• Medical Insurance
• Health care
• Fraud detection
• Phishing identification

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Why Now?

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Why Now?
• Flood of available data
• By 2020 world data will be 44 trillion gigabytes
• In 2013 total useful data is 22%
• In 2020 total useful data will be more than 35%
• Increasing computational power

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Why Now? …
• Available algorithms and theory developed by
researchers
• Cheap global digital storage
• Increasing support from industries

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Application of ML

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MLApplications

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The Learning Process

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Learning Algorithm

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How Neuron Works?

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How ML Model Works
Neural Network System

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Traditional Programming
Machine Learning

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Types of Machine Learning
Supervised Learning: The computer is presented
with example inputs and their desired outputs,
given by a "teacher", and the goal is to learn a
general rule that maps inputs to outputs.

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Types of Machine Learning?
Unsupervised Learning: No labels are given to the
learning algorithm, leaving it on its own to find
structure in its input

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What is Azure Machine Learning?
• Azure Machine Learning provides tools for creating complete
predictive analytics solutions in the cloud
– Quickly create, test, operationalize, and manage predictive models.
• Microsoft Azure Machine Learning Studio is a interactive tool
– You can use to build, test, and deploy predictive analytics solutions on
your data.
• You drag-and-drop datasets and analysis modules onto an
interactive canvas, connecting them together to form an
experiment, which you run in Machine Learning Studio.

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Why Azure Machine Learning?
• Microsoft’s $15 billion investment in global datacenter
infrastructure.
• Azure is available in 141 countries
• Azure support 10 languages and 19 currencies
• Utilize hundreds of thousands of CPU cores to solve
your most difficult computational problems
• Support Windows to Linux, SQL to NoSQL, Cloud
service to Web site etc.

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Why Azure Machine Learning? …
• Cloud-based
– Minimal set-up costs with ability to easily scale
compute/storage capacity.
• Data Integration
– Easy to integrate data from various data sources
• Common Toolset
– Common toolset to build and train models using advanced
algorithms
• Deployment simplicity
– Easy to deploy trained models as consumable web services

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Azure Machine Learning Algorithms
• Classification Algorithms
• Regression Algorithms
• Clustering Algorithms

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Azure Machine Learning Workflow

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27. • My blog site: http://mahedee.net
• TechNet Profile:
https://social.technet.microsoft.com/profile/mahede
e/
• Github Profile: https://github.com/mahedee
• Slide Share http://www.slideshare.net/mahedee19
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Q&A

28. • Email: mahedee.hasan@gmail.com;
Mahedee_hasan@leads-bd.com
• Tag me in facebook group post
• https://www.facebook.com/groups/techinfo.bd
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Q&A

29. • Me in Facebook:
https://facebook.com/mahedee19
• Me in Linkedin:
https://www.linkedin.com/in/mahedee
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Q&A

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