What is Machine Learning ? How does it work ? In which fields is it applied ? Discover everything in this article ! Machine Learning is a major field of computer science and mathematics. More precisely it is a sub-field…
In this article we will see an efficient mnemonic to always remember what is a class and a label in classification. In Machine Learning there are different types of approaches to solve a problem. Among them, classification problems form a…
In this article, we explain with concrete examples the difference between supervised and unsupervised algorithm. As seen in the first course on the basics of machine learning, the latter is based on algorithms, also called models. However, not every model…
Already 30 minutes on Stack Overflow, 1 hour on Quora and you still don’t understand WHY non-linearity is necessary in a Neural Network ? If you are also in this scenario, you’ve landed at the right spot !💡 In this…
Layers, the basic concept that structure Deep Learning. What are the main types and how to use them ? That what we’ll find out. In a Deep Learning algorithm the input data are called tensors, it is basically a matrix…
Recall, Precision, F1 Score how to easily remember their usefulness and what these metrics imply ? To understand these metrics, you need to know the concepts of True Positive / False Negative (detailed in this article along with a method…