Exploring Urbanization Strategies Using XGBoost-SHAP

Exploring Urbanization Strategies Using XGBoost-SHAP

Academic Research Analyzing Urbanization Strategy Mechanisms of Crowd Behavior: A Case Study in Suzhou Exploring Urbanization Strategies by Dissecting Aggregate Crowd Behaviors: A Case Study in China Abstract Town development is an important stage of urbanization, and it has received increasing attention in sustainable economic growth strategies. Vitality, especially the vitality that measures crowd aggregation … Read more

XGBoost: Advanced Stock Price Prediction (With Code)

XGBoost: Advanced Stock Price Prediction (With Code)

Star ★TopOfficial AccountLove you all♥ Author:Yibin Ng Translated by: 1+1=6 Recent Original Articles: ♥ 5 Machine Learning Algorithms for Stock Price Prediction (Code + Data) ♥ Two Sigma Uses News to Predict Stock Price Trends, Helping You Beat Kaggle ♥ 20,000 Words of Valuable Content: Using Cutting-Edge Deep Learning to Predict Stock Price Trends ♥ … Read more

Pan Titanium Technology: Generative AI Agent Solutions

Pan Titanium Technology: Generative AI Agent Solutions

Pan Titanium Technology’s generative AI Agent solution integrates mainstream open-source and closed-source large language models from home and abroad, based on a self-developed Multi-Agent architecture, to build an enterprise-level service ecosystem that provides scenario-based solutions for various government, enterprise, and industry clients in finance, education, and other fields. Background of the Solution 1. Industry and … Read more

How Reliable Is AI? A Deep Dive into the ‘Hallucination’ Mechanism of Large Models

How Reliable Is AI? A Deep Dive into the 'Hallucination' Mechanism of Large Models

Have you ever encountered a situation where you ask an AI a question, and it provides you with a particularly detailed and logical-sounding answer? However, when we fact-check it, we find that the information is completely fabricated? This is the famous ‘AI Hallucination’ phenomenon. Scroll up and down to see more, image source: 河森堡 新浪微博 … Read more

Comprehensive Summary of 14 Anomaly Detection Methods

Comprehensive Summary of 14 Anomaly Detection Methods

This article collects and organizes some common anomaly detection methods available on the public internet (with sources and code). Any shortcomings are welcome to be criticized and corrected. 1. Distribution-Based Methods 1. 3sigma Based on the normal distribution, the 3sigma criterion considers data points exceeding 3 sigma to be outliers. Figure 1: 3sigma def three_sigma(s): … Read more

AI Python Data Analysis, Machine Learning & Deep Learning Training

1Training OverviewThis course aims to enable participants to master the application of Python in the field of scientific research through comprehensive and systematic learning, especially how to leverage artificial intelligence technologies to promote research progress. The course content covers everything from basic Python programming to advanced machine learning and deep learning algorithms, gradually guiding students … Read more

How to Efficiently Learn Machine Learning Prediction Models with mlr3

How to Efficiently Learn Machine Learning Prediction Models with mlr3

Click the “Knowledge City” above to follow us! Introduction Hello everyone! Today, I would like to share some clinical and research notes written by a radiation oncologist who often shares valuable content on X. The radiation oncology department really produces a lot of note-taking enthusiasts; this guy genuinely treats X as his notebook. Most of … Read more

Highly Versatile Machine Learning Methods for Predicting Perovskite Properties

Highly Versatile Machine Learning Methods for Predicting Perovskite Properties

Research Background The bandgap is one of the most important fundamental properties of perovskite materials in photovoltaic applications. To obtain the bandgap of unknown materials, it can be estimated through experiments like UV-Vis diffuse reflectance spectroscopy or photoluminescence (PL) and X-ray photoelectron spectroscopy (XPS). These experiments require huge and expensive equipment. Choosing to use DFT … Read more

Comprehensive Summary of Machine Learning Regression Models

Comprehensive Summary of Machine Learning Regression Models

Click on the above “Beginner Learning Vision”, and select to add a “Star Mark” or “Top” Heavyweight content delivered promptly 【Guide】Hello everyone, I am Yongyu. A coder who enjoys exploring and sharing AI knowledge! Regression analysis provides a solid foundation for many machine learning algorithms.In this article, we will introduce the concept of regression analysis, … Read more

Fundamentals of Machine Learning and Its Economic Applications

Fundamentals of Machine Learning and Its Economic Applications

Source: Xiangzhang Economics Academic Circle On the morning of July 21, 2024, Professor Guo Feng, a doctoral supervisor and head of the Investment Department at the School of Public Economics and Management, Shanghai University of Finance and Economics, was invited to give a wonderful lecture titled “Fundamentals of Machine Learning and Its Economic Applications: Three … Read more