As researchers push the boundaries of Natural Language Processing (NLP), the technology is becoming more embedded in our everyday lives. These advances will result in significant changes to the way we live. As an important facet of artificial intelligence, natural language processing is going to contribute to the proverbial invasion of robots in the workplace, so if companies are going to remain competitive, they must start to prepare. This document will throw some light... Read More

A practical guide to getting started with Python for Data Analysis with examples of code and easy to access libraries Read More

Although existing personal protective equipment (PPE) can filter out 95% of harmful bacteria and viruses, few can actually kill coronaviruses in particular. Research has shown that combining graphene oxide (GO) with known antivirals significantly enhances their virus-killing performance. Read More

Discrimination and fairness in AI and machine learning: How to detect and mitigate bias in the financial services industry Read More

Learn the significance of SQL in Data-Science and Machine Learning. And understanding the basics of SQL. Read More

The internet of things or (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Read More

Thinking about using a Machine Learning model? Get your hands dirty with a practical lesson on SKLEARN. Read More

Quantitative analysis is no panacea from mistakes and discrepancies. The purpose of this White Paper is to consider contemporary challenges of the Quantitative Big Data analysis activities. Read More

Machine learning is a fast-paced area and many types of research are ongoing. One of the fastest growths can be seen in the area of Meta-learning. As it is becoming more popular and more meta-learning techniques are being developed, it is important to understand this area of data science. Meta-learning caught my attention somewhere back in 2018 Read More

This point of view is an exploration of the possibilities engendered by rethinking the role of data scientists in the wake of the industrial revolution. It also explicitly highlights the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption Read More