Discover Supervised Learning in 5 questions
The field of Machine Learning includes supervised, unsupervised and semi-supervised learning. If you’d like to know more about Machine Learning, our dossier is just the
🚀 Think you’ve got what it takes for a career in Data? Find out in just one minute!
The field of Machine Learning includes supervised, unsupervised and semi-supervised learning. If you’d like to know more about Machine Learning, our dossier is just the
Today, we present the 4th installment of our exciting NLP dossier. In this article, we’ll look at how to build a translation algorithm on Python
Today, Twitter is used by hundreds of millions of people worldwide. More precisely, the current estimate stands at around 330 million monthly active users and
In recent years, explainability has been a recurring but still niche issue in machine learning. The Grad-CAM method is a solution to this problem. More
In the world of computing, we are often called upon to perform word-processing tasks. There’s a universal tool called regex, which often presents the most
Since the launch of Docker in 2013, software containers have become increasingly popular. These are independent “runtimes” that allow software or software components to be
Whether you’re developing a web or mobile application, or any other IT infrastructure, the use of a database is more than essential. And in the
Data management becomes fundamental as datasets multiply. Among the solutions for efficient handling of large volumes of data, metadata stands out. But what exactly is
In the dynamic environment of information technologies, managing data effectively is essential. APIs are fundamental in this task, allowing interaction between different applications and services.
The Kolmogorov-Smirnov test is a widely used method for comparing data. Discover the amazing story of its invention, and how it is used today in
A shell training course teaches you how to master a shell like Bash. Find out everything you need to know and how to follow such
Find out all you need to know about Python’s virtual environments and the virtualenv library: definition, use cases, operation, tutorial, training… One of the main