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PyData June Meetup: Intro to Azure Machine Learning: Predict Who Survives the Titanic
June 8, 2017 @ 6:00 pm - 8:00 pm
201 S. Division, Suite 500
Join us for a PyData Ann Arbor Meetup on Thursday, June 8th, at 6 PM, hosted by TD Ameritrade and MIDAS.
Interested in doing machine learning in the cloud? In this demo-heavy talk, Jennifer Marsman 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, she’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). She’ll talk through how she analyzes the given data and why she chooses 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.
Jennifer Marsman is a Principal Software Development Engineer in Microsoft’s Developer Experience group, where she educates developers on Microsoft’s new technologies with a focus on data science, machine learning, and artificial intelligence. Jennifer blogs at http://blogs.msdn.microsoft.com/jennifer and tweets at http://twitter.com/jennifermarsman.
PyData Ann Arbor is a group for amateurs, academics, and professionals currently exploring various data ecosystems. Specifically, we seek to engage with others around analysis, visualization, and management. We are primarily focused on how Python data tools can be used in innovative ways but also maintain a healthy interest in leveraging tools based in other languages such as R, Java/Scala, Rust, and Julia.
PyData Ann Arbor strives to be a welcoming and fully inclusive group and we observe the PyData Code of Conduct. PyData is organized by NumFOCUS.org, a 501(c)3 non-profit in the United States.
“use what you have learned to make something better and share with others”