BigDataFr recommends: Predicting At-Risk Patient Profiles from Big Prescription Data Abstract […] We show how the analysis of very large amounts of drug prescription data make it possible to detect, on the day of hospital admission, patients at risk of developing complications during their hospital stay. We explore, for the first time, to which extent […]

BigDataFr recommends: Some Deep Learning with Python, TensorFlow and Keras […] The following problems are taken from a few assignments from the coursera courses Introduction to Deep Learning (by Higher School of Economics) and Neural Networks and Deep Learning (by Prof Andrew Ng, deeplearning.ai). The problem descriptions are taken straightaway from the assignments. 1. Linear […]

BigDataFr recommends: A Big Data Analysis Framework Using Apache Spark and Deep Learning […] Subjects: Databases (cs.DB); Learning (cs.LG); Machine Learning (stat.ML) With the spreading prevalence of Big Data, many advances have recently been made in this field. Frameworks such as Apache Hadoop and Apache Spark have gained a lot of traction over the past […]

BigDataFr recommends: How big data technology is transforming fraud investigations […]The inside story of the Paradise Papers leak With more than 1,4 terabytes of data, the Paradise Papers is the illustration of the new possibilities for the fraud investigation world. Conducting investigations is a challenge in the age of big data. Massive volumes, unstructured and […]