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 ...

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 treasure ...

Intel has just announced that its new Data Center GPU Flex Series cards have been added to their family of PluggableDevices, something that is called Intel Extension for TensorFlow. Intel Extension ...

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process of ...

James Vincent is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Google has announced a new module for its machine learning framework, TensorFlow, that lets ...