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朴素贝叶斯(naive bayes)的python实现,使用小百合数据集-Naive Bayes (naive bayes) the python implementation, data sets using Sayuri
Date : 2025-12-30 Size : 534kb User : happylala

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关于贝叶斯估计的机器学习方法,其中主要描述与朴素贝叶斯-Bayesian estimation of machine learning methods, which describes the Naive Bayes
Date : 2025-12-30 Size : 170kb User : 刘畅

本书第一部分主要介绍机器学习基础,以及如何利用算法进行分类,并逐步介绍了多种经典的监督学习算法,如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树(CART)算法等。第三部分则重点介绍无监督学习及其一些主要算法:k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具。- In the first part, mainly introduced the machine learning base, and how to use the algorithm to classify, and gradually introduced the variety of classical supervised learning algorithms such as k-nearest neighbor, naive Bayes algorithm, logistic regression algorithm, support vector machine (SVM) and AdaBoost ensemble method, based on the regression tree algorithm and classification and regression tree (CART) algorithm. The third part focuses on unsupervised learning and some of the main algorithms: K mean clustering algorithm, Apriori algorithm, FP-Growth algorithm. The fourth part introduces some tools of machine learning algorithm.
Date : 2025-12-30 Size : 19.22mb User : 孙伟

基于R语言的机器学习。包括: 1.数据预处理方法以及编程; 2.SVR,ANNS,决策树,朴素贝叶斯,k-nn,k-mean等十大机器学习的算法以及编程。-Machine Learning Based on R Language. include: 1. Data preprocessing methods and programming 2.SVR, ANNS, decision tree, naive Bayes, k-nn, k-mean such as the top ten machine learning algorithms and programming.
Date : 2025-12-30 Size : 11.27mb User : 张正聪
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