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machine_learning's Introduction

1.Overview

1.机器学习: 学习资料&代码实战 2.推荐系统: 学习资料&Python Spark实现常用推荐算法

2.目录介绍

2.1 machine_learning

2.1.1 coursera

coursera学习课程笔记

  1. week_1: 机器学习入门介绍，单个特征下线性回归模型中的 假设函数、代价函数、梯度下降算法
  2. week_2: 多个特征变量线性回归模型中的 假设函数、代价函数、梯度下降算法、特征缩放、正规方程
  3. week_3: 逻辑回归模型介绍，同时也介绍如何解决过拟合问题

2.1.2 algorithm

法代码，包括octave和python

  1. linear_regression: 线性回归
  2. logisti_regression: 逻辑回归

2.2 recommended_system

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