The Kanban Method is not an approach to software development, but it’s an approach to process improvement. The Kanban method uses a work-in-progress limited pull..
The idea behind microservices is to build and maintain application, with composable pieces which work together in contrast to a traditional, “monolithic” application which is..
The recommendation systems are built using Machine learning techniques which filter out the products that users would be interested in or would buy based on..
Machine Learning algorithms are used to extract patterns from given data to predict or draw inferences, these algorithms divided into three different types: Supervised learning..
Work flow: Out-Sourcing Assignment – Iterative delivery
Agile lead prepares Teams skill matrix, so that everyone in the team and the stakeholders understand team competency layout. Verifies priority order of product order..
What is recommendation system? Today we see the recommendation systems working for us in most of the applications; these systems helping users to find and..
Work flow: Out-Sourcing Assignment – Project initiation
The Agile work flow help to understand flow of information, artifacts and activities required during between Client and Vendor(s). Deploy and use Agile management tool..
A distributed agile team is a group of resources that reside in multiple locations to achieve a common goal, sharing an understanding of key business..
Amazon makes large data sets available on its Amazon Web Services platform. The Million Song Dataset is collection of audio features and metadata for a million..
The project with the advent of Agile, the approach towards project metrics has been changed. Agile evangelists started coaching teams that it is important to..
A machine learning pipeline is used to help automate machine learning workflows. They operate by enabling a sequence of data to be transformed and correlated..
Perceptron is known as single-layer perceptron, it’s an artificial neuron using step function for activation to produces binary output, usually used to classify the data..
Kanban fitment: The most commonly cited instance where Kanban is extremely successful is a software maintenance project which involves fixing production bugs and doing small..
Agile planning is nothing more than measuring the speed a team can turn user stories into working, production-ready software and then using that to figure..
New teams go through certain stages, before they can work well together. According to Tuckman, all stages—Forming, Storming, Norming, Performing, and Adjourning—are necessary for the..
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