Search Results for "e learning"

mall-admin-web is the frontend component of the “mall” e-commerce system, implemented in Vue (plus Element UI) to deliver the backend management interface: product management, order management, member management, promotions, operations, content, statistics and settings. It demonstrates how a modern single-page application can be structured to integrate with the backend services described in the learning / microservice projects, including authentication (JWT or token), REST APIs, role/permission management and real-time dashboards. ...

Its task is simple: It tells you which language some provided textual data is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking. Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages.

As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable for processing by existing deep learning models. ...

eShopOnWeb is Microsoft's .NET core sample reference application demonstrating monolithic web app architecture using Clean Architecture principles. It illustrates modern .NET patterns, organized across projects, and is designed for learning and as a starter template. The eShopOnWeb sample is related to the eShopOnContainers sample application which, in that case, focuses on a microservices/containers-based application architecture. However, eShopOnWeb is much simpler in regards to its...

Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual...