Intro to Azure Machine Learning: Predict Who Survives the Titanic

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Description

Interested in doing machine learning in the cloud? In this demo-heavy talk, I will set the stage with some information on the different types of machine learning (clustering, classification, regression, and anomaly detection) supported by Azure Machine Learning and when to use each. Then, for the majority of the session, I’ll demonstrate using Azure Machine Learning to build a model which predicts survival of individuals on the Titanic (one of the challenges on the Kaggle website). I'll talk through how I analyze the given data and why I choose to drop or modify certain data, so you will see the entire process from data import to data cleaning to building, training, testing, and deploying a model. You’ll leave with practical knowledge on how to get started and build your own predictive models using Azure Machine Learning.

Day:

2

Level:

Level 200

Session Type:

Breakout

Code:

M216

Room:

New Zealand Room One (SKYCITY)

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