
Quite often we have seen in today’s business problem space that we can recognise easy patterns in data using classical machine learning techniques.
But the data deluge frequently brings in complex patterns to be recognised for harder problems along with noise and pseudo patterns where the regular techniques prove to be weak. The usual way out is to look towards complex, black-box algorithms which prove to be difficult to use, understand and explain. This workshop explores the possibility of being able to use the same classical approaches as opposed to using more sophisticated algorithms for such problems by making them work together using ensemble methods.Instead of building a lion of a model, how about turning a group of lambs into a lion!
Part I- Lalit Sachan Co-founder at Edvancer @ Cypher 2016 big data in healthcare | |
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Science & Technology | Upload TimePublished on 28 Sep 2016 |
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