From Transfer Learning for Natural Language Processing by Paul Azunre
This article delves into using shallow transfer learning to improve your NLP models.
From Transfer Learning for Natural Language Processing by Paul Azunre
This article discusses getting started with baselines and generalized linear models.
From Making Sense of Edge Computing by Cody Bumgardner
Conceptually, edge computing is concerned with when it’s best to migrate computational functionally toward source of data and when it is best to move the data itself. This abstract concept of function versus data migration drives not only the fundamental motivations of edge computing, but also the broader field of distributed systems. The act of distributing processes makes even the simplest tasks more complicated.
From Making Sense of Edge Computing by Cody Bumgardner & Caylin Hickey
