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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
In October 2020, DataScientest became the first European partner of MicroStrategy, one of the most widely used Business Intelligence software packages for data analysis and
Matplotlib is an open-source Python library for creating data visualizations. Discover everything you need to know: definition, how it works, challenges, and training… Data visualization
Python is the most popular and widely used computer programming language, particularly in the fields of Data Science and Machine Learning. What’s more, Python is
Cybersecurity has become a crucial concern for companies in all sectors, given the rise of cybercrime. Discover everything important to know about cybersecurity. What is
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
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
