Category: Fundamentals

The final part of our dossier dedicated to Deep Learning, this article will give you an in-depth look at how Transfer Learning is defined and

By harnessing data, companies can make better decisions. This is why organizations across all industries are placing increasing importance on these valuable resources. However, in

DevOps is an approach that reconciles development and operations. Widely used in the software development field, it is also embraced in the realm of Data

During internet browsing, many websites do not allow direct saving of data for personal use. The simplest solution in this case is to manually copy

Text mining involves using Machine Learning to analyse text. Find out everything you need to know: definition, how it works, techniques, benefits, use cases, etc.

L’AI watermarking, or AI digital watermarking, is a technique that involves embedding digital marks or indicators into machine learning models or datasets to enable their

Incremental Update Power BI: It allows you to load only the changes made to the data, rather than replacing all the data with each refresh.

Clustering is a specialized discipline within Machine Learning aimed at separating your data into homogeneous groups with common characteristics. It’s a highly valued field, especially

An Apache Airflow training helps you master the open-source workflow orchestration platform. Explore the reasons and methods to become proficient in this essential tool for

Application Programming Interfaces (APIs) have become indispensable across various industries, including banking, marketing, and digital sectors. The development of APIs continues to grow alongside the

Machine Learning Python has emerged as the go-to language for Machine Learning in just a few years. Many of us eager to start coding in

When starting a Data Science project, it’s crucial to carefully consider the modeling of the problem at hand. If we aim to increase sales on