KanJian GaiLvLun is a website that helps users deeply understand classical probability theorems through interactive demonstrations. It makes abstract mathematical concepts vivid and interesting through intuitive interactive experiences, practical cases, and fun learning experiences. The website continuously evolves and strives to provide increasingly perfect learning experiences.
Top Features
- Interactive demonstrations
- Practical cases
- Fun learning experience
- Continuous updates
- User feedback
Simple Definition of Usecases
- Students can better understand the law of large numbers through interactive demonstrations, explaining probability convergence through card simulation, making it easy for non-math majors to understand.
- Teachers can use practical cases and fun learning experiences on the website to design more interesting classroom teaching and improve students' learning interest.
- Data scientists can better understand conditional probability through the visualization demonstration of Bayes' theorem and apply it in practical work.
- Quantitative traders can understand the optimal investment strategy through the demonstration of Kelly's formula and apply it in their investment portfolio.
- Math enthusiasts can continuously learn new probability theory knowledge through the website's continuous updates and communicate with other enthusiasts.
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