We study various polynomial bases from the bias-variance perspective, and the derivative-control properties of the Bernstein basis. This concludes our series on polynomial regression.| Alex Shtoff
We demonstrate an important use-case for Bernstein basis regularization in model calibration. We briefly discuss the use-cases of a well-calibrated machine learned classification model, and develop a simple calibrator that improves upon the ones provided by Scikit-Learn using regularization of the Bernstein basis.| Alex Shtoff
Patrick Hoefler| Blog
Introduction| astrid.tech
(TL;DR: For a university course I’ve built a classifier that returns an emoji –that should make sense 😝 – given some input text: https://github.com/javierhon...| hondu.co
The post PCA in Python: Understanding Principal Component Analysis appeared first on datagy. Principal Component Analysis (PCA) is a cornerstone technique in data analysis, machine learning, and artificial intelligence, offering a systematic approach to handle high-dimensional datasets by reducing complexity. By distilling data into uncorrelated dimensions called principal components, PCA retains essential information while mitigating dimensionality effects. With diverse applications includin...| datagy
Ici, je te dévoile comment installer et utiliser cuML sur Google Colab pour entraîner rapidement tes modèles de Machine Learning. Google Colab propose des notebooks sur le cloud permettant d’exécuter du code Python. Majoritairement utilisé par les Data Scientists et les ML Engineers, Colab possède un défaut: cuML n’est pas installé dans l’environnement de base. […] L’article Qu’est-ce que cuML et comment l’utiliser sur Google Colab? est apparu en premier sur Inside Machi...| Inside Machine Learning
Working with images can be a very time-consuming task, especially if you have many images to work on. Machine learning can thus be a great time-saver for various image analysis and editing tasks, such as finding the dominant colors of an image thanks to the K-means clustering algorithm. The K-means clustering algorithm defines a number … Continue reading "Finding the dominant colors in an image with k-means"| AILEPHANT
You can use Coiled Run| phofl.github.io
