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Validation Methodology of Large Unstructured Unsupervised Learning Systems
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| by Lawrence Chernin Follow 0 Followers on Nov 26, 2016 |
25:32

Summary
Lawrence Chernin describes best practices and validation methods used to deal with large unstructured data, including a suite of unit tests covering the implementations of algorithmic equations.

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Bio

Lawrence Chernin has worked in the data science field for six years. Prior to data science he worked in the semiconductor software field for many years and originally worked as an astrophysicist at Berkeley. He has a PhD from Harvard University and is an Kaggle enthusiast.

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