This document provides an overview of common classification algorithms, their working principles, advantages, disadvantages, and typical use cases. Supervised learning is a machine learning approach ...

Abstract: For the traditional big data classification models and algorithms that have the drawback of long processing time, the use of intelligent algorithms to model identification of multivariable ...

Logistic Regression is another popular and versatile algorithm that can be used for text classification. It is a linear model that predicts the probability of a text belonging to a class by using ...

Some optimization algorithms also adapt the learning rates of the model parameters by looking at the gradient history (AdaGrad, RMSProp, and Adam). Classification algorithms can find solutions to ...

The aim of this study was to develop a model that can accurately predict the likelihood of developing diabetes in patients with the greatest amount of precision. Classification algorithms are widely ...

Technical characteristics are necessary. Based on the above background, the purpose of this article is to study the big data classification model and algorithm based on blockchain. This article ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic ...