Category: Data Science

Motivation Machine Learning Development goes beyond developing a model. Productionizing a model quickly becomes a multi-faceted, indeed even a multi-disciplinary process that involves several key

The root mean square error (RMSE) is an indicator for verifying the reliability of a model. This tool studies the discrepancies between the values actually

An SQL index enables you to quickly locate the data you’re looking for in a relational database. Find out all you need to know about

Microsoft Fabric is an all-in-one Data Science solution in the form of a SaaS cloud service, bringing together OneLake and numerous data storage, engineering and

Writing content for social networks, preparing emails, generating code, …. tools based on artificial intelligence are gradually becoming personal assistants. They are helping professionals and

Nightshade, developed by researchers at the University of Chicago, represents a major advance in the protection of artists’ rights in the digital age. This innovative

Graph Neural Networks (GNNs) are special neural networks used to solve difficult problems using graphs as a complex data structure. Find out more about how

Application Programming Interfaces (APIs) are of vital importance in the field of data science. They make it easier to access and manipulate data from a

Reaffirming the importance of the normal distribution, the central limit theorem is one of the key concepts in statistics. So what exactly is it? How

Chaos Engineering is an innovative discipline in the world of software engineering, which focuses on improving the resilience and reliability of computer systems. This approach,

Backtracking: Constraint satisfaction problems (CSPs) are mathematical problems in which a set of objects must satisfy a certain number of constraints. These problems, widely studied

Proximal Policy Optimization is a Reinforcement Learning algorithm created by OpenAI, ideal for complex environments such as video games or robotics. Find out all you