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机器学习课程
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<b>1.</b>
机器学习概述
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<b>1.1.</b>
人工智能概述
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<b>1.2.</b>
什么是机器学习
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<b>1.3.</b>
机器学习算法分类
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<b>1.4.</b>
机器学习开发流程
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<b>1.5.</b>
学习框架和资料介绍
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<b>2.</b>
特征工程
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<b>2.1.</b>
数据集
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<b>2.2.</b>
特征工程介绍
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<b>2.3.</b>
特征抽取
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<b>2.4.</b>
特征预处理
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<b>2.5.</b>
特征降维
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黑马python机器学习入门笔记
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黑马python机器学习入门笔记 （288个子文件） 
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随机森林.png 2.73MB 鸢尾花数据集使用.png 2.49MB 地图K紧邻算法.png 1.6MB 销售额度.png 1.45MB 人员聚类.png 1.26MB instacart.png 1.21MB PCA解释图.png 1.19MB 图片艺术化.png 1.15MB 无监督学习.png 1024KB 房屋价格.png 928KB K-means如何聚类效果.png 901KB 数学书.png 882KB 学习书籍.png 880KB 多变量的梯度下降.png 832KB FBlocation介绍.png 753KB 自动驾驶.png 745KB 正规方程和梯度下降对比.png 740KB 手机评判好坏.png 681KB 天蚕.png 668KB alphago.png 625KB 鸟类特征选择.png 603KB 投票.png 590KB 过拟合.png 589KB 欠拟合.png 580KB 降维.png 553KB 猫狗.png 498KB共 288 条
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