Anomaly Detection of Time Series Data Using Machine Learning & Deep Learning
Time Series is defined as a set of observations taken at a particular period of time. For example, having a set of login details at regular interval of time of each user can be categorized as a time series. On the other hand, when the data is collected at once or irregularly, it is not taken as a time series data.
Understanding Dependency Management & Package Management in GO Language
Go is a new language and thanks to Go community, it has grown rapidly since the release of Go 1.0. yet, keeping its most fundamental principle of simplicity intact. Like other programming languages, GO has the approach for dependency management like npm in Node.js, the pip in Python.
Testing Strategies in Microservices Architecture
Microservices is an approach of developing an application by splitting it into smaller services, where each module run in its own process and communicating with each other in a lightweight mechanism. These services are independently deployed and fully automated.
Deploying .NET Application on Docker & Kubernetes
Today, we are going to set up a project on how to dockerize a .NET application and deploy, configure and scale it on Kubernetes. To follow this guide, you need Kubernetes, Kubectl, Shared Persistent Storage, .NET Application Source Code, Docker File and Container Registry
Semantic Search Based on Domain Ontology Using Apache Spark & Jena
In a natural language, semantic analysis is relating the structures and occurrences of the words, phrases, clauses, paragraphs etc and understanding the idea of what’s written in particular text. Does the formation of the sentences, occurrences of the words make any sense?