Do you remember those afternoons in school or college when the professor was trying to teach you about things you never thought you would use in adult life? I bet regression and statistical algorithms are on that list. Well, it turns out that, with the realization of the importance of extracting knowledge from data, these techniques play an important role in Machine Learning and Data Science. Read More
Kick-start your Machine Learning journey by gaining an understanding of the fundamentals of Logistic Regression. Here we explain what Logistic Regression is and give two practical examples of how to build a machine learning model using Python Read More
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
