Connections Between Data Science & Finance

Image Source: pixabay.com The world of finance is changing at an unprecedented rate. Data science has completely altered the face of traditional finance management. Though data has long been a […]

K Nearest Neighbour For Supervised Learning

K-Nearest Neighbour (KNN) Algorithms is an easy-to-implement & advanced level supervised machine learning algorithm used for both – classification as well as regression problems. However, you can see a wide […]

Spiky cubes, Pac-Man walking, empty M&M’s chocolate: curse of dimensionality

This is the first article of the article series Illustrative introductions on dimension reduction. “Curse of dimensionality” means the difficulties of machine learning which arise when the dimension of data […]

Illustrative introductions on dimension reduction

“What is your image on dimensions?” ….That might be a cheesy question to ask to reader of Data Science Blog, but most people, with no scientific background, would answer “One […]

How the Internet of Things Technology is Impacting the World

Internet of Things, or commonly referred to as IoT, is disrupting industries and arguably making the world a much better place because of it.  Some of the main industries are […]

How the Pandemic is Changing the Data Analytics Outsourcing Industry

While media pundits have largely focused on the impact of COVID-19 as far as human health is concerned, it hasn’t been particularly good for the health of automated systems either. […]

In-memory Data Grid vs. Distributed Cache: Which is Best?

Distributed caching has been a boon for IT professionals in the past due to its ability to make data always available even when offline. However, with the growing popularity of […]

5 Data Privacy Predictions for 2021

2020 has been a significant year for data management. As businesses face new technological challenges amid the COVID-19 pandemic, issues of privacy have spent some time in the spotlight. In […]

Data Science in Engineering Process - Product Lifecycle Management

How to develop digital products and solutions for industrial environments?

In this article, we substantiate why Data Science and Engineering should be introduced as new engineering discipline in the Product Lifecycle Management process.

Test-data management  support in Test Automation Development

Data is centric in testing of several applications because data is critical to organizations. Businesses are becoming more data-driven, and hence it is imperative that as Automation Test developers, the […]