data science

been to an art museum and wondered how such a seemingly bizarre piece of art can get so famous or be sold at such a high price? Or how artwork that seems really...

Neural Network Regressor, we now move to the classifier version. From a mathematical viewpoint, the 2 models are very similar. In truth, they differ mainly by the interpretation of the output and the selection...

are sometimes presented as black boxes. Layers, activations, gradients, backpropagation… it may feel overwhelming, especially when every thing is hidden behind model.fit(). We are going to construct a neural network regressor from scratch using Excel....

article about SVM, the subsequent natural step is Kernel SVM. At first sight, it looks like a very different model. The training happens within the dual form, we stop talking a few slope and...

be honest. Writing code in 2025 is far easier than it was ten, and even five, years ago. We moved from Fortran to C to Python, each step lowering the hassle needed to get...

With Logistic Regression, we learned classify into two classes. Now, what happens if there are greater than two classes. n is just the multiclass extension of this concept. And we are going to discuss this...

In “What ‘Pondering’ and ‘Reasoning’ Really Mean in AI and LLMs,” you address the semantic gap between human and machine reasoning. How does understanding this distinction impact the way in which you approach model...

Someday, a knowledge scientist told that Ridge Regression was an advanced model. Because he saw that the training formula is more complicated. Well, this is precisely the target of my Machine Learning “Advent Calendar”, to...