Graph Theory

M. Radin
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引用次数: 0

Abstract

INTRODUCTION A picture is worth a thousand words is a commonly used adage meaning that complex and sometimes multiple ideas can be conveyed by a single still image(wiki). So does the graph through the visual representation of data. Visual representation provides better insights and helps us make better data-driven decisions based on them. A better understanding of the "Graph Theory" concept can aid our data visualization to the next level. Though the graph theory is important, it is often hidden under the concept of many ML algorithms. Understanding the graph theory concepts and application of it to data science can benefit us by speeding up our code dramatically, reducing functions with plenty of looping to sweet one-liners, making possible certain tasks that were previously practically unsolvable.
图论
一张图片胜过千言万语是一句常用的格言,意思是一张静止的图像可以传达复杂的,有时甚至是多重的想法。通过数据的可视化表示,图表也是如此。视觉表现提供了更好的洞察力,并帮助我们在此基础上做出更好的数据驱动决策。更好地理解“图论”概念可以帮助我们的数据可视化进入下一个阶段。虽然图论很重要,但它往往隐藏在许多ML算法的概念之下。理解图论概念并将其应用于数据科学可以大大加快我们的代码速度,将具有大量循环的函数减少为简单的一行程序,使以前实际上无法解决的某些任务成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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