algorithm theory for Data Science
Definition In computer science, most algorithms run to completion: they provide a single answer after performing some fixed amount of computation. But nowadays, in machine learning generation, the models take a long time to train and predict the result, the user may wish to terminate the algorithm before completion. That’s where anytime algorithm came in, …
In this blog post, I am going to introduce one of the most intuitive algorithms in the field of Supervised Learning[1], the k-Nearest Neighbors algorithm (kNN). The original k-Nearest Neighbors algorithm The kNN algorithm is very intuitive. Indeed, with the assumption that items close together in the dataset are typically similar, kNN infers the output …
Motivation What makes computers useful for us is primarily the ability to solve problems. The procedure in which computers solve a problem is an algorithm. In the recent context of an increasing number of algorithms available for solving data-related problems, there is increasing demand for a higher level of understanding of algorithm’s performance for data …
