Amazon Machine Learning can be a very easy way to get started with machine learning. This presentation discusses the process of using AML

1. Amazon Machine Learning
An Introduction
Dan Moore
CTO – The Food Corridor

2. Machine Learning

3. Amazon Machine Learning

4. Does Person X Make > $50k/yr?

5. The Pipeline
• Raw data -> prepped data -> loaded data
• Data -> data source -> model
• Model ->
– Evaluation
– Batch prediction
– Real-time prediction

6. Demonstration

7. AML Use Cases
• Easy intro to ML
• Exploration of ML and data
• Structured text data
– Especially if already in AWS
• Limited configurability
• No infrastructure
• Inexpensive

8. Alternatives
• AWS
– Image recognition
– Voice recognition
– Spark
– Deep learning AMI
• Non AWS
– Google, Azure, startups
– Open source (scikit-learn)

9. Questions?
• Thanks
– UCI for the data
• And where to find me
– dan@mooreds.com
– @mooreds
– http://www.mooreds.com/wordpress/
– AML O’Reilly video course:
https://bitly.com/introtoaml
– https://github.com/mooreds/amazonmachinelearning
-anintroduction/