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Practical Machine Learning with Python: Predictive Analytics Backend

General Assembly

Monday, July 9, 2012 from 6:00 PM to 7:30 PM (EDT)

New York, NY

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Practical Machine Learning with Python: Predictive Analytics Backend

Monday, July 9th from 6:00 - 7:30 pm

Roy Hyunjin Han, Computational Engineer, CrossCompute

Recent developments in open source software make it surprisingly easy to apply machine learning to find patterns in your data.  Machine learning combines concepts from mathematics, statistics and neuroscience to create computer algorithms for automatically classifying and organizing your information.  In this hands-on class, we will cover the concepts, strengths and weaknesses of several techniques and use Oliver Grisel's scikit-learn to create a predictive analytics backend for an example web service.

  • Create analytical tools for your business data: 1) identify key user conversion metrics from A/B tests; 2) cluster users into segments to find new market opportunities; 3) listen for unusual activity with anomaly detection.
  • Know the strengths and weaknesses behind several techniques in model selection, feature selection, supervised learning and unsupervised learning.
  • Apply algorithms from geospatial and network relationship analysis.

Roy Hyunjin Han runs CrossCompute, bringing the power of computational science to the public sector.  Our activities are to work with agencies to understand their needs, integrate tools from researchers to meet those needs and build local capacity through written tutorials and hands-on training in large-scale data analysis.  Quality of life is a human right. City agencies and citizens should have access to powerful analytics systems without paying millions of dollars.

 

 

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When & Where

10 E 21st St
New York, NY 10010

Monday, July 9, 2012 from 6:00 PM to 7:30 PM (EDT)


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General Assembly

General Assembly is a campus for technology, design, and entrepreneurship. We provide educational programming, space, and support to facilitate collaborative practices and learning opportunities across a community inspired by the entrepreneurial experience.

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