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Academician Zhang Tongyi's Chinese Version of 'Introduction to Materials Informatics: Basics of Machine Learning' Published

As a scholar in materials and mechanics, Academician Zhang Tongyi has made significant contributions to the development of ...
Analytics Insight1d

Top Regression Techniques Every Data Scientist Should Learn

Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...
Devdiscourse3d

AI outperforms traditional models in bankruptcy forecasting

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...
Visual Studio Magazine1mon

Implementing k-Nearest Neighbors Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of k-nearest neighbors regression using JavaScript. There are many machine learning regression techniques, but k-nearest neighbors is ...
Frontiers5mon

A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression

1 Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China 2 China Construction Eighth Bureau Engineering Research Institute, China Construction ...
Scientific Research Publishing6mon

Machine Learning-Based Classification of Coronary Heart Disease: A Comparative Analysis of Logistic Regression, Random Forest, and Support Vector Machine Models ()

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...
GitHub9mon

This repository contains an implementation of the Support Vector Machines (SVM) algorithm, a powerful supervised learning technique for classification and regression tasks.

Implementation of SVM for binary and multi-class classification. Kernel functions supported: Linear, Polynomial, RBF (Gaussian), and more. Optimization using techniques like the Sequential Minimal ...
marktechpost10mon

Support Vector Machine (SVM) Algorithm

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...