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
If you are a follower of our blog, you already know what a neural network is (if not, feel free to read this article first)
A Perceptron is an artificial neuron, essential for Deep Learning neural networks. Discover its principle, its use, and its importance in Data Science. To understand
Artificial intelligence is going to change the world, but it is still misunderstood by many people. Through this file, discover everything you need to know
Context One of the most widely used and oldest species identification techniques is “morphological identification”, which identifies individuals by their anatomical characteristics. However, this technique
Daniel is the technical support of DataScientest’s trainings. It is the expert on every subject related to data science. Today, we have managed to get
TensorFlow is a Machine Learning framework created by Google and available in open source. Discover everything you need to know about it: history, functioning, advantages,
This article is the first in a series dedicated to Deep Learning: After a general introduction to the functioning and applications of neural networks, you
Find out everything you need to know about Machine Learning: definition, operation, and different categories… you’ll know everything about Machine Learning and its revolutionary impact
