Category: Data Science

Despite the emergence of a wide range of data processing software, Excel is still one of the most widely used business solutions, for example to

DragGAN is an AI-powered photo editing software that lets you edit and enhance your shots in just a few clicks via a drag-and-drop interface. Find

Service Mesh simplifies and automates communication between the microservices that make up a software application. Find out everything you need to know about this technology,

Huffman coding is a data compression algorithm. The idea is to assign variable-length codes to the input characters, the length of the assigned codes being

Thanks to its massively parallel architecture, Teradata can handle huge volumes of data. And it does so with unprecedented efficiency, since the platform regularly adds

#NULL!, #REF!, #DIV/0!, N/A …. Data tables regularly contain errors that limit data analysis. Fortunately, it’s possible to correct them through Power Query Error Handling.

To simplify the management of virtual environments, Anaconda is a must-have tool. Users of this platform can manage their projects via the visual interface or

While raw data is multiplying, organisations need to transform it so that they can exploit the available data and create value. Traditionally, companies have used

While machine learning algorithms are becoming more and more widely used, they also represent significant costs for the organizations that use them. It is therefore

The stability index is used to assess the reliability of Machine Learning models. Find out everything you need to know about this tool, and how

For companies wishing to remain competitive, effective data management is imperative. Today, many organizations are looking for people capable of mastering these data management, processing

Rather than explaining relationships between two variables, multiple linear regression establishes relationships between one variable and several explanatory variables. This multidimensional approach allows us to