Classification and Class Imbalance The classification of data where the distribution of the instances of the class is very different from the uniform distribution is a relatively common situation in some industries. More concretely, unbalanced Read more…
During the honeymoon phase, the first MOOCs with Andrew Ng repeating “concretely” 10 times in a 6 minutes video, machine learning seems pretty easy and intuitive. There are plenty of Medium articles or tutorials that Read more…
What is class separability? Theoretical Minimum Error and Overlapping In the example below we have two classes: $C_0$ et $C_1$. The points of class $C_0$ follow a normal distribution of variance 4. The points of Read more…
While trading may be the most exciting and lucrative domain of application of Machine Learning, it is also one of the most challenging. Trading is not only about buying or selling, nor is it just Read more…