Learn five strategies to deal with imbalanced data in machine learning, such as resampling, weighting, metrics, algorithms, and data exploration.

Multi-label classification deals with problem domains in which each instance belongs to more than one class simultaneously. Label Powerset (LP) is an efficient multi-label learning algorithm that ...

On the Label categories page, specify a set of classes to categorize your data. Your labelers' accuracy and speed are affected by their ability to choose among classes. For instance, instead of ...

Researchers leverage new machine learning methods to learn from noisy labels for image classification October 12, 2022 by Zhuowei Wang ...

Machine-Learning-Classification Classification Process Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.

In this post, we introduce how to use transfer learning to address label noise for large-scale image classification tasks. We’ll avoid describing the approach using too much math. If you are ...