In 2019, Venturebeat reported that almost 87% of data science projects do not get into production. Redapt, an end-to-end technology solution provider, also reported a sim...
The ability for machines to reasonnot just identify patterns in massive data amounts, but make rule or logic based inferences on domain specific knowledgeis found...
This article focuses on the machine learning aspects of the problem, and the use of pattern recognition techniques leading to interesting, new findings about twin primes....
Unsplash image Students at Delft University of Technology, the Netherlands carried out a crowdsourcing study as part of the Crowd Computing Course designed by Asst. Prof....
Recognition of employees has long been a cornerstone of good administration. However, as the battle for talent heats up, how businesses appreciate their employees is m...
The finance industry generates a huge amount of data. Did you know big data in finance refers to the petabytes of structured and unstructured information that helps antic...
Machine learning models make use of training datasets for predictions. And, thus labeled data is an important component for making the machines learning and interpret inf...
Financial markets are constantly evolving, facing some of the biggest challenges in their history like full digitization of markets, technology-driven disruption, reduced...
Metaprogramming is a collection of programming techniques which focus on ability of programs to introspect themselves, understand their own code and modify themselves. ...
Small and medium sized businesses (SMEs) often find it difficult to balance the day-to-day need for data with the cost of employing data scientists or professional analys...