The one-day workshop focuses on the problem of privacy-preserving machine learning in scenarios where sensitive datasets are distributed across multiple data owners. Such distributed scenarios occur quite often in practice, for example when different part...

theoretical quantum physics, data science, and typography... (more…)

Posted by Chi Zeng and Justine Tunney, Software Engineers, Google Brain Team When we open-sourced TensorFlow in 2015 , it included TensorB... (more…)

This post will be about helping you understand the basics of the main machine learning task : classification. More specifically, we are going to scratch the surface of linear classification and quickly address non linear classification. I assume some basi... (more…)

In this article, the authors explore how we can build a machine learning model to do predictive maintenance of systems. They discuss a sample application using NASA engine failure dataset to predict the Remaining Useful Time (RUL) with regression models. ... (more…)