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Tuesday, November 10 • 1:00pm - 1:30pm
Survey of available Machine Learning Frameworks - Brendan Herger

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Learning a new modeling framework is time consuming, and doesn’t always pay off. However, as more feature engineering and modeling frameworks become available, its difficult not to leverage their abilities. Only interested in frameworks available in R? Need a large selection of clustering and regression algorithms? Limiting your train data set because your framework is bursting at the seams?

We’ll cover an in depth overview of the strengths, weaknesses and design logic of the top feature engineering and modeling frameworks available, and which of these frameworks justify pushing through the learning curve.

avatar for Brendan Herger

Brendan Herger

Data Scientist, Capital One Financial Corporation
Brendan Herger is a Data Scientist, helping to bring large scale machine learning to Capital One. 

Tuesday November 10, 2015 1:00pm - 1:30pm
Ramanujan Stage