Graph databases are the future, and even if you’re just a beginner, it’s never too late to get started.
Data visualization is always a better way to explain the data to both technical and non-technical audiences.
This article takes a look at one of the simplest data structures that are very much used in all applications called the heap.
This article will introduce the concept of Locality Sensitive Hashing (LSH) and the working principles of the algorithm.
What is the k-nearest neighbours (kNN) algorithm and how is it applied to Machine Learning?
The Big Data Conference Europe 2020 was my first ever online conference. Read to learn about my experience.
As concerns about a Covid-19 winter arise, we compute the control scores of countries to analyse if they're likely to have a coronavirus free Christmas.
In this article, we discuss how Random Forest differs from Active Learning Random Forests, its comparison and how they can be used for Big Data analysis.
Does hyper-personalisation mean personalisation getting hyper from caffeine? We take a very brief look at what it is and why it's necessary.
The Covid-19 pandemic has led to an overwhelming number of hotel booking cancellations worldwide, but hotels are no strangers to suffering from this issue.