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All too often companies have only the vaguest idea about what kind of data they’re holding; because such data is very often hidden deeply away in a variety of databases and fragmented across different departments. We identify this data and bring it to light, making it visible, cohesive, comparable and easy to understand so that it really does support YOU in making the right decisions. And if need be, we can also identify any lacking data and define a concept to fill in the gap.
Insightful and effective: “Deep Learning Specialization” by Andrew Ng on Coursera

Insightful and effective: “Deep Learning Specialization” by Andrew Ng on Coursera

Posted by on Mar 8, 2018 in Insights, Thoughts | No Comments

Not enough can be said about the contribution of Coursera and Andrew Ng to machine learning education. The very beginning of Coursera was with a machine learning MOOC in 2012, and this was, as far as I can tell, the first time machine learning education was made available freely and publicly. Such was the excitement […]

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Classification using higher order interactions: a hybrid approach

Classification using higher order interactions: a hybrid approach

Posted by on Jul 7, 2017 in Case Studies, Insights | 2 Comments

For representation in this blog, we have considered German credit data for classification of good and bad credit risk using the interaction of the input variables through a hybrid approach. In this approach, first we developed a decision tree for identifying the significant interactions of the input variables and then, a feed forward neural network  […]

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