Industry

Predicting The Stock Market Using Images

Manuel Amunategui, VP of Data Science at SpringML presented on the topic “Convolutional Neural Networks And Unconventional Data – Predicting The Stock Market Using Images” during the Global Artificial Intelligence Conference in Santa Clara last week. Synopsis: “This is about taking numerical data, transforming it into images and modeling it with convolutional neural networks. In other …

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Automating FDA adverse event reporting

Medical Device manufacturers in the US need to comply with reporting requirements outlined by the US Food and Drug Administration (FDA) and submit adverse events electronically to the FDA for review. Failure to do comply could lead to financial penalties or even criminal sentences. An adverse event can refer to any unfavorable occurrence involving a medical …

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thought-catalog

Customer segmentation – combining RFM and predictive algorithms

The Recency-Frequency-Monetary value segmentation has been around for a while now and provides a pretty simple but effective way to segment customers.  An RFM model can be used in conjunction with certain predictive models to gain even further insight into customer behavior.  In this post we’ll discuss three predictive models – K-means clustering, Logistic Regression and …

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Customer segmentation