Author: Huang Tianyuan, currently a PhD student at Fudan University, with research involving text mining, social network analysis, and machine learning. I hope to share learning experiences and promote the application of R language in the industry. Email: [email protected] XGBoost is currently the best predictive solution based on tree models, and is worth exploring and … Read more
Author IntroductionIntroduction Su Gaosheng, graduated with a master’s degree in statistics from Southwestern University of Finance and Economics, currently working at China Telecom, mainly responsible for big data analysis and data modeling for existing enterprise customers. Research direction: Machine Learning, favorite programming language: R, no exceptions. E-mail: [email protected] Zero, Case Background Introduction and Modeling Idea … Read more
New Intelligence Report Editor: LRS [New Intelligence Introduction] Inspired by the human visual system, MVDiffusion++ combines computational fidelity with the flexibility of human vision, generating dense, high-resolution images with pose from any number of unposed images, achieving high-quality 3D model reconstruction. The human visual system exhibits remarkable flexibility. For example, in the left image above, … Read more
Message from the Chief Editor The development of microbiome research has reached a mature stage, with various analytical techniques and systems available. The methods for analyzing microbiome data are numerous. We leverage our previously published paper, “Best Practices for Microbiome Analysis Using R,” to guide everyone through the entire code from simple to complex, from … Read more
Authorized Reprint Authors: Long Xinchen, Han Xiaoyang ◆ ◆ ◆ 1. Introduction You might not be familiar with this thing called ‘Machine Learning’, but when you lift your iPhone to take a photo, you are already accustomed to it helping you frame human faces; you naturally click on the news recommended by today’s headlines; you … Read more
1. Introduction In the field of machine learning, the interpretability of models has always been an important research direction. Today, we would like to introduce a powerful R package — explainer, which provides strong support for understanding complex classification and regression models. This package mainly achieves detailed interpretation of complex models through Shapley analysis, which … Read more
“ Local life scenarios involve numerous challenging computer vision tasks, such as menu recognition, sign recognition, dish recognition, product recognition, pedestrian detection, and indoor visual navigation. The core technologies corresponding to these computer vision tasks can be categorized into three types: object recognition, text recognition, and 3D reconstruction. From November 30 to December 1, 2018, … Read more