AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

In celebration of the festive season, schools and colleges are closed in India. This is the right time to enjoy and learn some self-paced courses. In this article, we will be sharing some free Python ...

Machine learning is rapidly emerging as one of the most transformative technologies in the digital age. It combines the principles of computer science, statistics, and data analysis to develop ...

This cross-sectional study was conducted between June 2011 and January 2012. The participants were randomly selected using a simple random sampling technique. Seven commonly used machine learning ...

Abstract: In this study, we have analyzed water quality using different approaches: descriptive analysis and machine learning. First, we get the data source from kaggle website. After processing the ...

This article explains the concept of cosine similarity and how it is used as a metric for evaluation of data points in various applications. Cosine similarity measures the angle between two vectors to ...

Abstract: K-nearest neighbor (KNN) algorithm is a simple and widely used classification method in machine learning. This algorithm tries to search every object in the dataset to find the nearest ...