1. Getting Started Using Azure ML
Andie Letourneau, Pragmatic Works

2. About Me BI Consultant with Pragmatic Works
Program manager for Azure Data Week 2018
Presenter at Phoenix SQL Saturday
Webinars
20 years focused on MSSQL Server as Developer/DBA for financial and accounting software industries.
Hi My name is Andie Letourneau and I am a BI Consultant with Pragmatic Works
You can contact me through my Pragmatic Works or on
A quick summary about myself:
I have a Bachelors in Mathematics & Physics
I have a little over 20 years of experience with SQL both as a Developer and a DBA
Sewing is my superpower
Today I will be showing you how to get started with Azure Machine Learning.

3. Agenda What is Machine Learning? Machine Learning Algorithms
Azure Machine Learning Home Page
Machine Learning Steps
Demo

4. What is Machine Learning?

5. Machine Learning Algorithms
Predict a value
MPG, new building utility usage, temperature
Regression
Binary outcome or category
Spam, will a customer buy/leave, movie rating
Classification
Identify and predict rare events
Fraudulent transactions, test-taking patterns
Anomaly Detection
Clustering
Group items based on common features
Customers with similar buying patterns
Recommendation
Suggest things a person may like/not like
“You may also like…,” movies, music, restaurants, products

6. Azure Machine Learning Home Page
Links & Videos
Forums
Help
Other Resources

7. Machine Learning Steps
Get the Data
Clean the data
Transform the data
Model the Data
Score and Evaluate the Model
Deploy the Model

8. Demo
Create your first ML Experiment: Use Azure ML Experiment to Predict who survives the Sinking of the Titanic

9. Sites to explore for additional information
References
Sites to explore for additional information
Azure ML Studio
Azure AI Gallery
Azure ML Documentation
Azure ML Algorithm Cheat Sheet
Algorithm Selector