The term data augmentation refers to methods for constructing iterative optimization or sampling algorithms via the introduction of unobserved data or latent variables. For deterministic 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 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.

LinkedIn’s new tool, called Avro2TF, enables data scientists and other users to convert datasets stored in the Apache Avro format commonly used by LinkedIn’s engineers into a pattern that can ...

Yahoo Inc. announced today that it is open-sourcing the code for TensorFlowOnSpark, a software framework that combines the artificial intelligence brainpower of TensorFlow programs with the ...