Algorithms

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...

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...

Feature selection stays one of the vital critical yet computationally expensive steps within the machine learning pipeline. When working with high-dimensional datasets, identifying which features truly contribute to predictive power can mean the difference...

, 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...

There are 4 sorts of Machine Learning:  Supervised — when all of the observations within the dataset are labeled with a goal variable, and you may perform regression/classification to learn tips on how to predict them. Unsupervised — when there...

, I used to be a graduate student at Stanford University. It was the primary lecture of a course titled ‘Randomized Algorithms’, and I used to be sitting in a middle row. “A ...

Authors: Augusto Cerqua, Marco Letta, Gabriele Pinto learning (ML) has gained a central role in economics, the social sciences, and business decision-making. In the general public sector, ML is increasingly used for so-called prediction policy...

composers are known to reuse motifs (i.e., characteristic note progressions or melodic fragments) across their works. For instance, famous Hollywood composers corresponding to John Williams (, , ) and Hans Zimmer (, ,...