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[帮助文档] 机器学习线性支持向量机算法组件的配置及示例

支持向量机SVM（Support Vector Machine）是基于统计学习理论的一种机器学习方法，通过寻求结构风险最小化，提高学习机泛化能力，从而实现经验风险和置信范围最小化。本文介绍线性支持向量机算法组件的配置方法及使用示例。

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简单线性回归最小二乘法实现原理最小二乘法公式使用最小二乘法计算a、b的值，实现线性回归的拟合 # _*_ encoding:utf-8 _*_ import numpy as np class SimpleLinearRegression1: //该类使用for循环方法计算a、b值，效率较低 ...

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邻近算法，或者说K最近邻(kNN，k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一。所谓K最近邻，就是k个最近的邻居的意思，说的是每个样本都可以用它最接近的k个邻居来代表。 kNN算法的核心思想是如果一个样本在特征空间中的k个最相邻的样本中的大多数属于某一个类别，则该...

来自小姐姐的入门推荐：7个基本机器学习算法Python实现

本文来自AI新媒体量子位（QbitAI）有位美女小姐姐，刚刚在GitHub上放出一份福利。嗯，正经的福利。她总结了一份基本的机器学习算法，全部以纯Python（版本3.6+）实现。其中包括线性回归等七套算法，具体地址在此： https://github.com/zotroneneis/mach...

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