3D Reconstruction

Introduction to KNN Classification Algorithm in Machine Learning: Implementation in Stata and R

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Introduction to KNN Classification Algorithm in Machine Learning: Implementation in Stata and R

Anyone involved in econometrics should follow this account. Manuscript:[email protected] All econometrics methodologiesCode programsMacro and microdatabases and various softwareare all shared in the community. Welcome to exchange and visit the econometrics circle community. Regarding machine learning methods, refer to the following articles:1Machine learning methods have appeared in top journals such as AER, JPE, QJE!, 2Frontier: A … Read more

Implementing K-Nearest Neighbors Algorithm in R

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Implementing K-Nearest Neighbors Algorithm in R

Table of Contents Understanding Nearest Neighbor Classification Step 1: Collecting Data Step 2: Exploring and Preparing Data Step 3: Training the Model Based on Data Step 4: Evaluating Model Performance Step 5: Improving Model Performance Understanding Nearest Neighbor Classification Do you know how proteins, vegetables, and fruits are classified? In life, we find that things … Read more

Implementing kNN Algorithm for Nearest Neighbor Classification

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Implementing kNN Algorithm for Nearest Neighbor Classification

“Birds of a feather flock together” is a common phenomenon in real life, indicating that similar things are likely to have similar attributes. Using this idea, machine learning can classify data, assigning it to the same category, such as similar or “nearest” neighbors. Today, let’s learn about nearest neighbor classification. 1. Understanding Nearest Neighbor Classification … Read more

Distinguishing Real Financial Time Series From Synthetic

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Distinguishing Real Financial Time Series From Synthetic

Star★TopPublic Account I love you all♥ Author: Matthew Translated by: Fang’s Mantou 0 Introduction Today, the public account will introduce to everyone,distinguishing real financial time series from synthetic time series. The data is anonymous, and we do not know which time series comes from which asset. In the end, we achieved a 67% in-sample testing … Read more

Using XGBoost in R for Machine Learning and Model Interpretation

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Using XGBoost in R for Machine Learning and Model Interpretation

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

XGBoost Algorithm – Kaggle Case Study

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XGBoost Algorithm - Kaggle Case Study

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

Revolution in 3D Reconstruction Paradigms! Latest Model MVDiffusion++: High-Quality 3D Model Reconstruction Without Camera Pose

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Revolution in 3D Reconstruction Paradigms! Latest Model MVDiffusion++: High-Quality 3D Model Reconstruction Without Camera Pose

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

Microbiome Joint Mining Tutorial Series – PC-5: Selecting Biomarkers with Multiple Differential Analysis Methods

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Microbiome Joint Mining Tutorial Series - PC-5: Selecting Biomarkers with Multiple Differential Analysis Methods

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

Introduction to Machine Learning: Methods and Learning Path

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Introduction to Machine Learning: Methods and Learning Path

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

Understanding Machine Learning Model Explanations with R

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Understanding Machine Learning Model Explanations with R

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