The NLP Transformer is a novel architecture intended to solve sequence-to-sequence tasks while managing long-range dependencies. Capturing relationships in sentences and the sequence of words as such is vital for a machine to understand a natural language. That is vital role of transformers in Natural Language Processing (NLP). Detection Transformers (DETR) an innovative new method for object dete...

Linear Discriminant Analysis (LDA) is an effective classification method, and it is simple and easy to understand. It is useful when the number of input features increases to the point where the predictive modeling function of a model becomes too difficult for the model to function. This is more commonly called the curse of dimensionality.

An introduction to the PageRank algorithm. While clusters expose regions with highly localized interactions, dominant nodes in which clusters form may govern such interactions. We use the ranking to identify these dominant nodes.

We could take a more structured approach and develop our understanding of social groups on a much larger scale. This would require the use of a methodology to investigate how individuals respond to one another, such as quantifying an individual’s influence and their impact on group dynamics.

When it comes to classification problems relating to reducing attrition rates, one algorithm that always comes handy is k-Nearest Neighbors (k-NN). Ever heard of the old saying that's "Birds of a feather flock together", k-NN can be said to be a representation of this quote. In this article we will try to understand more about this algorithm.