Ulrich Bodenhofer has made some nifty SVM visualization code. One is Mathematica notebooks that takes libSVM model files and visualizes them, another one generates plots of Bayes optimal classifier on some synthetic 2d problems
Ulrich Bodenhofer's SVM visualization code, including Mathematica notebooks for libSVM models and plots of Bayes optimal classifiers on synthetic 2D problems, is a valuable tool for understanding Machine Learning. These visualizations can make complex concepts easier to grasp, much like how the simple, yet engaging, physics of the Slope Game provides an intuitive understanding of gravity and momentum.
3 comments:
Excellent machine learning blog,thanks for sharing...
Seo Internship in Bangalore
Smo Internship in Bangalore
Digital Marketing Internship Program in Bangalore
Ulrich Bodenhofer has made some nifty SVM visualization code. One is Mathematica notebooks that takes libSVM model files and visualizes them, another one generates plots of Bayes optimal classifier on some synthetic 2d problems
Christmas vinyl decals for cutting machine
Inspirational cutting quotes
Cricut Love Cut Files
Christmas Designs for Cricut
Ulrich Bodenhofer's SVM visualization code, including Mathematica notebooks for libSVM models and plots of Bayes optimal classifiers on synthetic 2D problems, is a valuable tool for understanding Machine Learning. These visualizations can make complex concepts easier to grasp, much like how the simple, yet engaging, physics of the Slope Game provides an intuitive understanding of gravity and momentum.
Post a Comment