News

Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

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 Insight

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 ...
Devdiscourse

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 ...
IEEE

Adaptive Linear Predictive Deadbeat Control Against Machine Parameter Uncertainty of SPMSM Drives for Electric Vehicles

Abstract: A fast and accurate torque/current response is important for optimizing the efficiency of electric vehicles (EVs) and promptly implementing braking instructions in emergencies. Deadbeat ...
Devdiscourse

When Poverty Maps Fail: Machine Learning Overpredicts Rural Welfare, Study Warns

The ADB–Cornell study finds that machine learning poverty maps often misfire, overestimating welfare in poor, rural, ...
Visual Studio Magazine

Kernel Ridge Regression with Stochastic Gradient Descent Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
IEEE

Learning Deformable Linear Object Dynamics From a Single Trajectory

Abstract: The dynamic manipulation of deformable objects poses a significant challenge in robotics. While model-based approaches for controlling such objects hold significant potential, their ...