May 28, 2025 路 3 min read 路 In data science and statistics, understanding distribution is fundamental to analyzing and interpreting data. Whether you're building models or visualizing data, a strong grasp of distribution types and properties can provide deep insights. 馃敼 What i...
Join discussionFeb 20, 2025 路 4 min read 路 Introduction Machine learning models rely on data to learn patterns and make predictions. However, as the number of features (dimensions) in a dataset increases, models face challenges in learning effectively. This phenomenon is known as the Curse of...
Join discussionAug 30, 2024 路 2 min read 路 The main ideas of the algorithm Step 1: Given \(points=\{(x_1,y_1), (x_2,y_2),\dots, (x_n,y_n)\}\), generate a Bezier \(C\) with parameters \(\hat{t_1},\hat{t_2},\varepsilon\) respectively the left tangent, right tangent, and the allowable deviation...
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