Introduction to Azure Machine Learning by Deepak Shevani. Here we discuss data analytics types, and machine learning in big scheme of things. We then deep dive into Azure Machine Learning

1. … build smart applications, quickly

5. To simulate any
intellectual task
One of the most successful
approaches to AI, that uses
statistical techniques over
data to mimic intelligence
Subfield of ML concerned
with algorithms inspired by
artificial neural networks

6. Descriptive
What has
happened?
Predictive
What could
happen?
Prescriptive
What should
we do?
Insight into the past Understanding the future Advise / Suggestions

7. Descriptive
What has
happened?
Predictive
What could
happen?
Prescriptive
What should
we do?
Supervised machine learning algorithms can be used for predictive analytics
Not all predictive analytics need to be done using Machine Learning approaches

8. Clear
Objective
Data
Collection
Data
Preparation
Training
Model(s)
Evaluate
Model(s)
Publish
model

9. Image Courtesy : Introducing Azure ML by David Chappell

11. ML Studio Data Preprocessing Modules Machine Learning Algorithms Ease of Deployment

12. Image Courtesy : Introducing Azure ML by David Chappell

19. aum2deepak@gmail.com
deshevan@microsoft.com