机器学习Tom M.mitchell课后题ppt

上传者: 36108617 | 上传时间: 2019-12-21 20:45:25 | 文件大小: 46.01MB | 文件类型: zip
机器学习 Tom M.mitchell 中文版 课后题答案 ;全书讲解ppt;西安电子科技大学研究生期末考试题目 机器学习这门学科所关注的问题是:计算机程序如何随着经验积累自动提高性能?近年 来,机器学习被成功地应用于很多领域,从检测信用卡交易欺诈的数据挖掘程序,到获取用 户阅读兴趣的信息过滤系统,再到能在高速公路上自动行驶的汽车。同时,这个学科的基础 理论和算法也有了重大的进展。

文件下载

资源详情

[{"title":"( 44 个子文件 46.01MB ) 机器学习Tom M.mitchell课后题ppt","children":[{"title":"机器学习课件","children":[{"title":"基于实例的学习.ppt <span style='color:#111;'> 144.00KB </span>","children":null,"spread":false},{"title":"分析学习.ppt <span style='color:#111;'> 63.50KB </span>","children":null,"spread":false},{"title":"深度学习","children":[{"title":"道路车辆检测与识别.pptx <span style='color:#111;'> 7.18MB </span>","children":null,"spread":false},{"title":"深度学习及其应用:机器学习学术报告.ppt <span style='color:#111;'> 4.70MB </span>","children":null,"spread":false},{"title":"深度学习及应用.ppt <span style='color:#111;'> 2.34MB </span>","children":null,"spread":false},{"title":"深度学习.ppt <span style='color:#111;'> 1.20MB </span>","children":null,"spread":false},{"title":"深度学习及应用(NEW).ppt <span style='color:#111;'> 3.37MB </span>","children":null,"spread":false},{"title":"浅谈深度学习.pptx <span style='color:#111;'> 113.61KB </span>","children":null,"spread":false}],"spread":true},{"title":"引言.ppt <span style='color:#111;'> 187.00KB </span>","children":null,"spread":false},{"title":"遗传算法.ppt <span style='color:#111;'> 121.00KB </span>","children":null,"spread":false},{"title":"学习规则集合.ppt <span style='color:#111;'> 258.50KB </span>","children":null,"spread":false},{"title":"评估假设.ppt <span style='color:#111;'> 246.50KB </span>","children":null,"spread":false},{"title":"概念学习.ppt <span style='color:#111;'> 166.50KB </span>","children":null,"spread":false},{"title":"支持向量机(NEW).ppt <span style='color:#111;'> 1.20MB </span>","children":null,"spread":false},{"title":"SVM入门.pdf <span style='color:#111;'> 541.31KB </span>","children":null,"spread":false},{"title":"归纳和分析学习的结合.ppt <span style='color:#111;'> 161.00KB </span>","children":null,"spread":false},{"title":"human emotion faces detection","children":[{"title":"DemoRec.avi <span style='color:#111;'> 4.73MB </span>","children":null,"spread":false},{"title":"www.emovision.nl","children":[{"title":"Emovision.mht <span style='color:#111;'> 258.05KB </span>","children":null,"spread":false},{"title":"vcredist_x86.exe <span style='color:#111;'> 2.60MB </span>","children":null,"spread":false},{"title":"eMotionDemoInstaller.exe <span style='color:#111;'> 2.87MB </span>","children":null,"spread":false}],"spread":false},{"title":"eMotionDemoInstaller.exe <span style='color:#111;'> 6.92MB </span>","children":null,"spread":false}],"spread":true},{"title":"Dalal-cvpr05.pdf <span style='color:#111;'> 445.45KB </span>","children":null,"spread":false},{"title":"计算学习理论.ppt <span style='color:#111;'> 193.50KB </span>","children":null,"spread":false},{"title":"从神经网络到支持向量机.ppt <span style='color:#111;'> 3.85MB </span>","children":null,"spread":false},{"title":"决策树学习.ppt <span style='color:#111;'> 111.50KB </span>","children":null,"spread":false},{"title":"人工神经网络.ppt <span style='color:#111;'> 253.00KB </span>","children":null,"spread":false},{"title":"增强学习.ppt <span style='color:#111;'> 241.50KB </span>","children":null,"spread":false},{"title":"支持向量机.ppt <span style='color:#111;'> 855.00KB </span>","children":null,"spread":false},{"title":"人工神经网络(2011).ppt <span style='color:#111;'> 3.10MB </span>","children":null,"spread":false},{"title":"10.1支持向量机.ppt <span style='color:#111;'> 1.20MB </span>","children":null,"spread":false},{"title":"贝叶斯学习.ppt <span style='color:#111;'> 393.00KB </span>","children":null,"spread":false}],"spread":false},{"title":"机器学习部分习题解答.pdf <span style='color:#111;'> 305.28KB </span>","children":null,"spread":false},{"title":"机器学习Tom 网上所有答案汇总","children":[{"title":"Machine_Learning第5章课后习题.doc <span style='color:#111;'> 288.00KB </span>","children":null,"spread":false},{"title":"新建 Microsoft Word 文档.doc <span style='color:#111;'> 365.18KB </span>","children":null,"spread":false},{"title":"第3章.pdf <span style='color:#111;'> 31.43KB </span>","children":null,"spread":false},{"title":"第十章.pdf <span style='color:#111;'> 99.45KB </span>","children":null,"spread":false},{"title":"第2-5章(中文).pdf <span style='color:#111;'> 111.18KB </span>","children":null,"spread":false},{"title":"1-2章另一版本.pdf <span style='color:#111;'> 48.44KB </span>","children":null,"spread":false},{"title":"机器学习第6章作业三.doc <span style='color:#111;'> 405.50KB </span>","children":null,"spread":false},{"title":"机器学习作业参考答案.pdf <span style='color:#111;'> 111.18KB </span>","children":null,"spread":false},{"title":"第四章soultion6.pdf <span style='color:#111;'> 25.70KB </span>","children":null,"spread":false},{"title":"6.5答案.pdf <span style='color:#111;'> 78.14KB </span>","children":null,"spread":false},{"title":"机器学习第2章作业.doc <span style='color:#111;'> 206.00KB </span>","children":null,"spread":false}],"spread":false},{"title":"2015年现代机器学习理论期末考试试题.pdf <span style='color:#111;'> 339.88KB </span>","children":null,"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明