🚀 Think you’ve got what it takes for a career in Data? Find out in just one minute!
Very popular among developers and testers, Apache Ant allows for significant time savings and improved work quality in code building. So, how does this tool
The Conditional Generative Adversarial Network (cGAN) is a model used in deep learning, a derivative of machine learning. It enables more precise generation and discrimination
Adversarial Training: Since the 2010s, thanks to advances in Machine Learning, especially Deep Learning with deep neural networks, errors have become increasingly rare. Today, they
Bash is the most popular shell, widely used in the field of computer programming, as well as for Data Science and Machine Learning. Discover everything
Folium is one of the many open-source Python libraries that extend its capabilities. In the case of Folium, it’s a powerful visualization tool because it
DevOps vs DevSecOps: If DevOps is becoming increasingly common in the vocabulary of companies, the same cannot be said for DevSecOps. DevSecOps represents an evolution
Datasets (or data sets) are commonly used in machine learning. They consist of a collection of coherent data that can come in various formats (text,
Nowadays, we are witnessing a resurgence of interest and progress in new technologies related to artificial intelligence, especially in the use of neural networks. We
What do these three people have in common? None of them exist in real life, and each of these photos was generated by this website.
The performance of a Machine Learning algorithm is directly related to its ability to predict an outcome. When comparing the results of an algorithm to
In this article, we present one of the pitfalls of supervised learning algorithms: overfitting. What is overfitting? Overfitting in Machine Learning is the risk of
Apache Kafka is a real-time streaming data processing platform. Discover everything there is to know to master Kafka. Streaming data processing offers numerous advantages, particularly
