LinkedIn today announced it has open sourced a tool it developed to convert Apache Spark-based Big Data into a format consumable by TensorFlow, the popular open source platform for machine learning.

Viewing the observed data of a statistical model as incomplete and augmenting its missing parts are useful for clarifying concepts and central to the invention of two well-known statistical algorithms ...

The idea of data augmentation arises naturally in missing value problems, as exemplified by the standard ways of filling in missing cells in balanced two-way tables. Thus data augmentation refers to a ...

LinkedIn Corp. Thursday donated yet another internally built tool to the open-source community: a conversion tool that transforms data from Apache Spark into a format that can easily be consumed by ...