Day 9/60: Unlocking Hidden Data Structures — Matrix Decompositions (Eigenvalues & SVD)
中文摘要
本文介绍了机器学习中的矩阵分解，重点讨论特征值和奇异值分解（SVD）如何揭示隐藏的数据结构。
English Summary
This article explores matrix decompositions, specifically eigenvalues and SVD, to uncover hidden data structures within machine learning.
原文节选
Yesterday, we established that in machine learning, a matrix is both a storage container for your enterprise data and a mathematical… Continue reading on Medium »