[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fsM4ex5TMpfDDpNrCjrD3HjnfS0nPiMWO0ood8v5hWL0":3,"$fYSM-hpWpX3c_OBa9UfPGIyMaRMiOqA-6GOwZt6wMTs8":39,"$fz5QhU6531LMV4bQkI6dKVMgZT3ptlwJ0jiQg0cj9I70":80,"$f_6unIcamOnDviuMt6srNigtrE84qUO3rlT5e3dcatqs":131},{"ads":4,"bookConfig":37,"enableAds":13,"enableAdsVpn":13,"enableAdsVps":13,"userConfig":38},[5,12,19,25,31],{"coverImage":6,"description":7,"id":8,"image":9,"link":10,"title":11},"https://cdn.alltool.top/image/detail/fanai_ad.jpg","一顿饭AI 提供 ChatGPT Plus、Claude 等主流 AI 会员服务，支持支付宝直接付款，价格实在，开通简单。",7,"https://alltool.top/image/detail/chatgpt_logo.png","/blog/5a43","ChatGPT Plus低价代充｜支持支付宝",{"coverImage":13,"description":14,"id":15,"image":16,"link":17,"title":18},null,"1核1G内存30G SSD，每月1TB流量，美国节点，可以用来部署专属VPN、小型网站、博客。",2,"https://alltool.top/image/detail/cloudcone_favicon.png","https://cgfw.top/selfvpn.html","全球最便宜的VPS云服务器(13元/月)",{"coverImage":13,"description":20,"id":21,"image":22,"link":23,"title":24},"2核2G内存40G SSD云服务器，3M带宽，1个外网IPv4地址，超高性价比！",1,"https://img.alicdn.com/tfs/TB1_ZXuNcfpK1RjSZFOXXa6nFXa-32-32.ico","https://pdfs.top/blog/pt4s#ad","阿里云99元/年服务器专享购买链接",{"coverImage":13,"description":26,"id":27,"image":28,"link":29,"title":30},"免费下载电子书阅读器，支持Windows、安卓、IOS、MacOS等系统",5,"https://alltool.top/image/detail/ebook.png","https://pan.xunlei.com/s/VOLZuDZRhtvQUgIxeq96Mu9pA1?pwd=abn7","EPUB、PDF电子书阅读器下载",{"coverImage":13,"description":32,"id":33,"image":34,"link":35,"title":36},"最强PDF工具，支持编辑、签名、加密、OCR识别等25种功能。",3,"https://alltool.top/image/detail/adobe_acrobat.png","https://pdfs.top/blog/n7gq#ad","Adobe Acrobat Pro 2025绿色版","{\"bookQa\":[{\"question\":\"能否在线阅读？\",\"answer\":\"跳转到网盘下载页面，可以在线阅读，觉得不错再转存到自己的网盘。\"},{\"question\":\"如何下载？\",\"answer\":\"先将文件夹转存到自己的网盘（一定要转存整个文件夹，否则文件更新不会提醒），然后在网盘下载文件。\"},{\"question\":\"不知道下载哪种格式？\",\"answer\":\"移动端阅读推荐EPUB格式；电脑端如果阅读技术书籍，推荐PDF，阅读文学作品推荐EPUB格式。\"},{\"question\":\"个别PDF文档预览一直提示“文档打开失败”\",\"answer\":\"网盘自身问题，下载后可正常阅读。也可先转存到自己的网盘，再用客户端预览。\"},{\"question\":\"每天的下载次数是多少？\",\"answer\":\"每人每天可以下载5本不同的书籍，已经下载过的不占用下载次数。⚠️通过技术手段恶意频繁下载会被封禁！\"}]}","{\"enableResourceRequest\":true,\"enableAds\":true,\"enableAdsVpn\":false,\"enableAdsVps\":false,\"indexTopCount\":15,\"indexTopLatestCount\":15,\"indexStickCount\":10,\"indexLatestCount\":20}",{"author":40,"bookTags":13,"bookVersion":13,"categoryIds":41,"categoryNames":44,"code":47,"coverImageUrl":48,"createTime":49,"description":50,"doubanUrl":51,"files":52,"indexId":60,"isbn":61,"isbn10":62,"language":63,"name":64,"publishDate":65,"publisher":66,"pv":67,"recommendation":13,"score":68,"seoDescription":69,"seoKeywords":70,"seoTitle":71,"series":13,"tags":72,"title":77,"toc":13,"translator":13,"updateTime":78,"updateTimeDesc":79},"周志华",[42,43],140,147,[45,46],"计算机","计算机科学","a2ea0a545d6c4645bea37e583bcedb6e","/image/cover/a2ea0a545d6c4645bea37e583bcedb6e.jpg","2025-01-07 00:41:11","\u003Cblockquote>\u003Cp>《机器学习》又称西瓜书。\u003C/p>\u003C/blockquote>\u003Cp>机器学习是计算机科学与人工智能的重要分支领域。本书作为该领域的入门教材，在内容上尽可能涵盖机器学习基础知识的各方面。为了使尽可能多的读者通过本书对机器学习有所了解，作者试图尽可能少地使用数学知识。然而，少量的概率、统计、代数、优化、逻辑知识似乎不可避免。因此，本书更适合大学三年级以上的理工科本科生和研究生，以及具有类似背景的对机器学习感兴趣的人士。为方便读者，本书附录给出了一些相关数学基础知识简介。\u003C/p>\u003Cp>《\u003Cstrong>机器学习 (中文版)\u003C/strong>》共16章，大致分为3个部分：第1部分（第1～3章）介绍机器学习的基础知识；第2部分（第4～10章）讨论一些经典而常用的机器学习方法（决策树、神经网络、支持向量机、贝叶斯分类器、集成学习、聚类、降维与度量学习）；第3部分（第11～16章）为进阶知识，内容涉及特征选择与稀疏学习、计算学习理论、半监督学习、概率图模型、规则学习以及强化学习等。前3章之外的后续各章均相对独立，读者可根据自己的兴趣和时间情况选择使用。根据课时情况，一个学期的本科生课程可考虑讲授前9章或前10章;研究生课程则不妨使用全书。\u003C/p>\u003Cp>书中除第1章外，每章都给出了十道习题。有的习题是帮助读者巩固本章学习，有的是为了引导读者扩展相关知识。一学期的一般课程可使用这些习题，再辅以两到三个针对具体数据集的大作业。带星号的习题则有相当难度，有些并无现成答案，谨供富有进取心的读者启发思考。\u003C/p>\u003Cp>本书可作为高等院校计算机、自动化及相关专业的本科生或研究生教材，也可供对机器学习感兴趣的研究人员和工程技术人员阅读参考。\u003C/p>","https://book.douban.com/subject/26708119/",[53],{"code":54,"fileFormat":55,"fileSize":56,"needPassword":57,"netDiskType":58,"pages":59,"remark":13},"c5b4dc976d9642fa98f866f5f6ee2338","PDF","39.73 MB",true,"Quark",425,"70486868002","9787302423287","7302423288","中文","机器学习 Machine Learning (中文版)","2016-01-01","清华大学出版社",6706,8.6,"周志华的《机器学习》PDF下载，该书又称西瓜书，机器学习经典书籍。下载地址：https://pan.quark.cn/s/19560b7799b0。清华大学出版社出版, 本书作为该领域的入门教材，在内容上尽可能涵盖机器学习基础知识的各方面。本书更适合大学三年级以上的理工科本科生和研究生，以及具有类似背景的对机器学习感兴趣的人士。","西瓜书,周志华,机器学习,电子版,电子书,PDF,免费下载,freedownload,清华大学出版社,中文版,Machine Learning,高清,可复制版","《机器学习 (西瓜书) 》 - 周志华 - PDF免费下载",[73],{"code":13,"color":74,"name":75,"sort":15,"tip":76},"secondary","转换版PDF","EPUB格式转换的PDF，文字可复制，但与纸质版排版不一致","《机器学习 Machine Learning》PDF下载（西瓜书）","2026-09-02 18:35:42","1个月前",[81,91,100,108,115,123],{"author":82,"categories":83,"code":85,"coverImageUrl":86,"description":13,"name":87,"publishDate":88,"pv":89,"score":90},"吴恩达",[45,84],"人工智能(AI)","v9scl","/image/cover/v9scl.jpg","机器学习训练秘籍（Machine Learning Yearning 中文版）","2018-01-01 00:00:00",236,0,{"author":92,"categories":93,"code":94,"coverImageUrl":95,"description":13,"name":96,"publishDate":97,"pv":98,"score":99},"Aurelien Geron",[45,84],"7af427085ffd4cf986af1b462debd738","/image/cover/7af427085ffd4cf986af1b462debd738.jpg","Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition : Concepts, Tools, and Techniques to Build Intelligent Systems","2019-10-11 00:00:00",155,10,{"author":101,"categories":102,"code":103,"coverImageUrl":104,"description":13,"name":105,"publishDate":106,"pv":107,"score":99},"Aurélien Géron",[45,84],"b682d16f7f1046abae241b24e829982e","/image/cover/b682d16f7f1046abae241b24e829982e.jpg","Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow 3rd Edition (Third)","2022-11-29 00:00:00",704,{"author":101,"categories":109,"code":110,"coverImageUrl":111,"description":13,"name":112,"publishDate":113,"pv":114,"score":99},[45,84],"cac62ef652ea4b8d89b6b3b57298564f","/image/cover/cac62ef652ea4b8d89b6b3b57298564f.jpg","机器学习实战 (原书第2版) : 基于Scikit-Learn、Keras和TensorFlow","2020-10-01 00:00:00",728,{"author":116,"categories":117,"code":118,"coverImageUrl":119,"description":13,"name":120,"publishDate":121,"pv":122,"score":90},"[法] 奥雷利安·杰龙（Aurélien Géron）",[45,84],"b7b59eb4379d4a3e862807d98df83e41","/image/cover/b7b59eb4379d4a3e862807d98df83e41.jpg","机器学习实战（原书第3版） : 基于Scikit-Learn、Keras和TensorFlow","2024-06-01 00:00:00",5326,{"author":124,"categories":125,"code":126,"coverImageUrl":127,"description":13,"name":128,"publishDate":129,"pv":130,"score":90},"Dorothy Kenny",[45,84],"x80bm","/image/cover/x80bm.jpg","机器翻译知识普及：为人工智能时代的用户赋能","2025-01-01 00:00:00",60,[]]