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标题: ('机器学习典藏课程机器学及其matlab实现—从基础到实践国内外其他机器学习课程包',),全套视频教程学习资料通过百度云网盘下载 [打印本页]

作者: admin 时间: 2021-4-27 04:24
标题: ('机器学习典藏课程机器学及其matlab实现—从基础到实践国内外其他机器学习课程包',),全套视频教程学习资料通过百度云网盘下载

资源详情

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├

│├

││├HelloWorld-MachineLearningRecipes#1.mp4

││├Let’sWriteaPipeline-MachineLearningRecipes#4.mp4

││├MachineLearningoverCoffeewithaGoogler.mp4

││├VisualizingaDecisionTree-MachineLearningRecipes#2.mp4

││├WhatMakesaGoodFeature--MachineLearningRecipes#3.mp4

││├

│││├HelloWorld-MachineLearningRecipes#1.srt

│││├LetusWriteaPipeline-MachineLearningRecipes#4.srt

│││├MachineLearningoverCoffeewithaGoogler.srt

│││├VisualizingaDecisionTree-MachineLearningRecipes#2.srt

│││└WhatMakesaGoodFeature-MachineLearningRecipes#3.srt

││├

│││└HelloWorld-MachineLearningRecipes#1_chs.srt

│├

││├cs229-lecture01.mp4

││├cs229-lecture02.mp4

││├cs229-lecture03.mp4

││├cs229-lecture04.mp4

││├cs229-lecture05.mp4

││├cs229-lecture06.mp4

││├cs229-lecture07.mp4

││├cs229-lecture08.mp4

││├cs229-lecture09.mp4

││├cs229-lecture10.mp4

││├cs229-lecture11.mp4

││├cs229-lecture12.mp4

││├cs229-lecture13.mp4

││├cs229-lecture14.mp4

││├cs229-lecture15.mp4

││├cs229-lecture16.mp4

││├cs229-lecture17.mp4

││├cs229-lecture18.mp4

││├cs229-lecture19.mp4

││├cs229-lecture20.mp4

││└MachineLearningAllMaterials.zip

│├

││├[斯坦福大学-机器学习课程].materials.rar

││├10特征选择.mp4

││├11贝叶斯统计正则化.mp4

││├12K-means算法.mp4

││├13高斯混合模型.mp4

││├14主成分分析法.mp4

││├15奇异值分解.mp4

││├16马尔可夫决策过程.mp4

││├17离散与维数灾难.mp4

││├18线忄生二次型调节控制.mp4

││├19微分动态规划.mp4

││├1机器学习的动机与应用.mp4

││├20策略搜索.mp4

││├2监督学习应用.梯度下降.mp4

││├3欠拟合与过拟合的概念.mp4

││├4牛顿方法.mp4

││├5生成学习算法.mp4

││├6朴素贝叶斯算法.mp4

││├7最优间隔分类器问题.mp4

││├8顺序最小优化算法.mp4

││└9经验风险最小化.mp4

├

│├

││├Class_8.mp4

││├Class_8.pdf

││├Class_8_Code.rar

││├MacOS_precompiled-WITHOUT_SOURCE-v0.02.tar

││└Windows-Precompiled-RF_MexStandalone-v0.02-.zip

│├

││├Class_2.mp4

││├Class_2.pdf

││└Class_2_Code.rar

│├

││├Class_9.mp4

││├Class_9.pdf

││└Class_9_Code.rar

│├

││├Class_6.mp4

││├Class_6.pdf

││└Class_6_Code.rar

│├

││├Class_7.mp4

││├Class_7.pdf

││└Class_7_Code.rar

│├

││├Class_3.mp4

││├Class_3.pdf

││├Class_3_Code.rar

││└Homework_Dataset.rar

│├

││├Class_12.mp4

││├Class_12.pdf

││└Class_12_Code.rar

│├

││├Class_13.mkv

││├Class_13.pdf

││├Class_13_Code.rar

││└References.rar

│├

││├Class_11.mkv

││├Class_11.pdf

││└Class_11_Code.rar

│├

││├Class_10.mp4

││├Class_10.pdf

││└Class_10_Code.rar

│├

││├Class_4.mp4

││├Class_4.pdf

││├Class_4_Code.rar

││└Homework_Dataset.rar

│├

││├Class_5.mp4

││├Class_5.pdf

││└Class_5_Code.rar

│├

││├Class_1.mp4

││├Class_1.pdf

││├Class_1_Code.rar

││└MATLAB揭秘.pdf

├

│├<25种人工神经网络模型matlab源码>

││├chapter12.png

││├chapter12_01.png

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