Graphs and graph datasets are rich data structures that can be used uniquely to improve the accuracy and effectiveness of machine learning workflows. Some of the key interactions are graph analytics as features, semi supervised learning, graph based deep learning, and machine learning approaches to hard graph problems.
The next generation of React, aka Fiber, is eagerly anticipated. Expero's front-end team chimes in with their first impressions. If you’re like us, you’re eagerly awaiting the release of the new version of React (commonly referred to as React Fiber). We don’t intend to comprehensively go into the differences between React Fiber and the current React architecture (code named React Stack). However, when upgrading React, explicitly deprecated features tend to be pretty straightforward and easily called out with tooling like eslint. Still, some changes can be more insidious as they may have side effects that will be difficult to spot or reliably reproduce.
Among the product announcements from AWS re:Invent 2016, a new triplet of production web services has emerged under the heady title of Artificial Intelligence.
Whether it’s a stand-alone service, a microservice or a back end for a web application, a consistent and robust API is no longer something to be handcrafted. Using an API framework likeSwagger promises to give you a leg up and help you build a robust API for less cost.