Advent

working with k-NN (k-NN regressor and k-NN classifier), we all know that the k-NN approach could be very naive. It keeps your entire training dataset in memory, relies on raw distances, and doesn't...

5 days of this Machine Learning “Advent Calendar”, we explored 5 models (or algorithms) which are all based on distances (local Euclidean distance, or global Mahalanobis distance). So it's time to change the approach,...

Within the previous article, we explored distance-based clustering with K-Means. further: to enhance how the gap could be measured we add variance, with the intention to get the Mahalanobis distance. So, if k-Means is the...

4 of the Machine Learning Advent Calendar. Through the first three days, we explored distance-based models for supervised learning: In all these models, the thought was the identical: we measure distances, and we resolve the...

the k-NN Regressor and the thought of prediction based on distance, we now take a look at the k-NN Classifier. The principle is identical, but classification allows us to introduce several useful variants, reminiscent...

to this “Advent Calendar” of Machine learning and deep learning in Excel. For Day 1, we start with the k-NN (k-Nearest Neighbors) regressor algorithm. And as you will notice, this is absolutely the best...

, it is rather easy to coach any model. And the training process is at all times done with the seemingly same method fit. So we get used to this concept that training any...

The Chief Historian is at all times present for the massive Christmas sleigh launch, but no person has seen him in months! Last anyone heard, he was visiting locations which might be historically significant...