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精通数据科学算法
book

精通数据科学算法

by Posts & Telecom Press, David Natingga
May 2024
Intermediate to advanced
181 pages
3h 9m
Chinese
Packt Publishing
Content preview from 精通数据科学算法

内容提要

数据科学(Data Science)是从数据中提取知识的技术,是一门有关机器学习、统计学与数据挖掘的交叉学科。数据科学包含了多种领域的不同元素,包括信号处理、数学、概率模型技术和理论、计算机编程、统计学等。

本书讲解了7种重要的数据分析方法,它们分别是k最近邻算法、朴素贝叶斯算法、决策树、随机森林、k-means聚类、回归分析以及时间序列分析。全书共7章,每一章都以一个简单的例子开始,先讲解算法的基本概念与知识,然后通过对案例进行扩展以讲解一些特殊的分析算法。这种方式有益于读者深刻理解算法。

本书适合数据分析人员、机器学习领域的从业人员以及对算法感兴趣的读者阅读。

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Publisher Resources

ISBN: 9781836204596