On the importance of outlier detection

One of the biggest challenges in handling data is the presence of measurements that makes it difficult to construct a model that possesses a satisfying goodness of fit or, more importantly, a reliable goodness of prediction. This can range from measurements in production data to individuals responding to surveys. A question that immediately poses itself is “what is... Continue Reading →

Artificial Neural Networks and Patient Segmentation

Introduction Segmentation has for the past decades been a must for many businesses around the world. In a growingly competitive market in which understanding costumers (and keeping them) can be the difference between a flourishing business and a stagnating one, the need for efficient and accurate methods of segmentation is primordial. Some businesses have underestimated... Continue Reading →

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