Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

The k-nearest neighbors classification technique is one of the simplest possible machine learning classification algorithms. In general, k-NN classification is less accurate than other algorithms ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation ...

This would be useful if some other system would be using the trained model and didn't have access to the training data. Wrapping Up The Winnow binary classification technique is not used very often.

In this study, we asked whether we could decode the immune system's record of these disease encounters by interpreting this highly variable information with some new machine learning techniques.

KL Deemed to be University has conferred a Doctorate degree on Ms. A. Vinisha, a research scholar from the Department of ...