
PyTorch: all about Facebook’s Deep Learning framework
The Python language being one of the most used, it contains a lot of frameworks, and many of them are developed exclusively for Data Science.
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The Python language being one of the most used, it contains a lot of frameworks, and many of them are developed exclusively for Data Science.

The Deep Neural Network imitates the functioning of the human brain. Find out everything you need to know about it: definition, functioning, use cases, training.A

This article will be divided into two parts: The first focuses on the choice of metrics specific to this type of data, the second details

Classification of unbalanced data is a classification problem where the training sample contains a strong disparity between the classes to be predicted. This problem is

According to the statistics of the Workflow Management Coalition, workflows are at the heart of every company’s IT management. Whether you identify, monitor and manage

This is a word we often use in IT, but what exactly is it ? A framework is a conceptual or real structure that you

NumPy is a very popular Python library that is mainly used to perform mathematical and scientific calculations. It offers many features and tools that can

Unbalanced data is very common in Machine Learning. Unfortunately, they complicate predictive analysis. So to balance these data sets, several methods have been implemented. How

SHapley Additive exPlanations, more commonly known as SHAP, is used to explain the output of Machine Learning models. It is based on Shapley values, which

The Python language is widely used in the field of Data Science. Its popularity is notably linked to its various libraries dedicated to data analysis,

Data Analysis is increasingly used in companies in all sectors. Find out everything you need to know about it. Thanks to digital technologies, companies now

If you’ve been doing data science for a while you’ve probably heard of Kaggle. And you haven’t, it won’t be long now. Let’s take a