[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f1fcieqcfrreq0":3,"$f149kdjz4ck0l8":33,"$f2hcr4rnri027v":79,"$f21yfpjn77q2cd":131},{"ads":4,"bookConfig":31,"enableAds":13,"enableAdsVpn":13,"enableAdsVps":13,"userConfig":32},[5,12,19,25],{"coverImage":6,"description":7,"id":8,"image":9,"link":10,"title":11},"https:\u002F\u002Fcdn.alltool.top\u002Fimage\u002Fdetail\u002Ffanai_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:\u002F\u002Falltool.top\u002Fimage\u002Fdetail\u002Fchatgpt_logo.png","\u002Fblog\u002F5a43","ChatGPT Plus低价代充｜支持支付宝",{"coverImage":13,"description":14,"id":15,"image":16,"link":17,"title":18},null,"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:\u002F\u002Fimg.alicdn.com\u002Ftfs\u002FTB1_ZXuNcfpK1RjSZFOXXa6nFXa-32-32.ico","https:\u002F\u002Fwww.cnblogs.com\u002Fhaws\u002Fp\u002F18582641\u002Faliyun79","阿里云99元\u002F年服务器专享购买链接",{"coverImage":13,"description":20,"id":21,"image":22,"link":23,"title":24},"免费下载电子书阅读器，支持Windows、安卓、IOS、MacOS等系统",5,"https:\u002F\u002Falltool.top\u002Fimage\u002Fdetail\u002Febook.png","https:\u002F\u002Fpan.xunlei.com\u002Fs\u002FVOLZuDZRhtvQUgIxeq96Mu9pA1?pwd=abn7","EPUB、PDF电子书阅读器下载",{"coverImage":13,"description":26,"id":27,"image":28,"link":29,"title":30},"最强PDF工具，支持编辑、签名、加密、OCR识别等25种功能。",3,"https:\u002F\u002Falltool.top\u002Fimage\u002Fdetail\u002Fadobe_acrobat.png","https:\u002F\u002Fwww.cnblogs.com\u002Fhaws\u002Fp\u002F18686608\u002FadobeAcrobat","Adobe Acrobat Pro 2025绿色版","{\"bookQa\":[{\"question\":\"不知道提取码？\",\"answer\":\"点击下载会自动复制“提取码”，弹窗里也会显示“提取码”\"},{\"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":34,"bookTags":13,"bookVersion":13,"categoryIds":35,"categoryNames":38,"code":41,"coverImageUrl":42,"createTime":43,"description":44,"doubanUrl":13,"files":45,"indexId":53,"isbn":54,"isbn10":13,"language":55,"name":56,"publishDate":57,"publisher":58,"pv":59,"ranks":60,"recommendation":13,"score":61,"seoDescription":62,"seoKeywords":63,"seoTitle":64,"series":65,"tags":66,"title":76,"toc":13,"translator":13,"updateTime":77,"updateTimeDesc":78},"周志华",[36,37],140,143,[39,40],"计算机","人工智能(AI)","dpdyt","\u002Fimage\u002Fcover\u002Fdpdyt.jpg","2025-04-09 00:35:36","\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\u002Fp>\u003Cp>全书共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\u002Fp>\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\u002Fp>\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\u002Fp>",[46],{"code":47,"fileFormat":48,"fileSize":49,"needPassword":50,"netDiskType":51,"pages":52,"remark":13},"1682cf62358c4a3e9bfbda04e95d93c1","EPUB+PDF","121.18 MB",true,"Quark",425,"1251595001","9787302423287","中文","机器学习","2016-01-01","清华大学出版社",22,[],8.6,"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...下载地址：https:\u002F\u002Fpan.quark.cn\u002Fs\u002F2591eb7358dd，提取码：4GcS","机器学习,周志华,清华大学出版社,2016-1-1,电子版,PDF,免费下载,夸克网盘,百度网盘,高清,可复制","《机器学习》PDF下载(西瓜书)(周志华)","清华社人工智能系列",[67,72],{"code":13,"color":68,"name":69,"sort":70,"tip":71},"secondary","转换版PDF",2,"EPUB格式转换的PDF，文字可复制，但与纸质版排版不一致",{"code":13,"color":73,"name":74,"sort":27,"tip":75},"warning","OCR PDF","经过OCR处理的扫描版，文字可复制","《机器学习》PDF下载(西瓜书)","2026-08-04 12:22:25","2个月前",[80,89,96,105,113,122],{"author":34,"categories":81,"code":83,"coverImageUrl":84,"description":13,"name":85,"publishDate":86,"pv":87,"score":88},[39,82],"计算机科学","a2ea0a545d6c4645bea37e583bcedb6e","\u002Fimage\u002Fcover\u002Fa2ea0a545d6c4645bea37e583bcedb6e.jpg","机器学习 Machine Learning (中文版)","2016-01-01 00:00:00",39,10,{"author":90,"categories":91,"code":92,"coverImageUrl":93,"description":13,"name":94,"publishDate":86,"pv":95,"score":88},"[土耳其] 埃塞姆·阿培丁（EthemAlpaydin）",[39,40],"139e4254a23742b1b0f5ed8fc5caf136","\u002Fimage\u002Fcover\u002F139e4254a23742b1b0f5ed8fc5caf136.jpg","机器学习导论（原书第3版）",37,{"author":97,"categories":98,"code":99,"coverImageUrl":100,"description":13,"name":101,"publishDate":102,"pv":103,"score":104},"Peter Harrington",[39,40],"1c0ab66bb57d46848f3237f5a25a85be","\u002Fimage\u002Fcover\u002F1c0ab66bb57d46848f3237f5a25a85be.jpg","机器学习实战","2013-06-01 00:00:00",19,8,{"author":106,"categories":107,"code":108,"coverImageUrl":109,"description":13,"name":110,"publishDate":111,"pv":112,"score":88},"Aurélien Géron",[39,40],"cac62ef652ea4b8d89b6b3b57298564f","\u002Fimage\u002Fcover\u002Fcac62ef652ea4b8d89b6b3b57298564f.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",35,{"author":114,"categories":115,"code":116,"coverImageUrl":117,"description":13,"name":118,"publishDate":119,"pv":120,"score":121},"[法] 奥雷利安·杰龙（Aurélien Géron）",[39,40],"b7b59eb4379d4a3e862807d98df83e41","\u002Fimage\u002Fcover\u002Fb7b59eb4379d4a3e862807d98df83e41.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",70,0,{"author":123,"categories":124,"code":125,"coverImageUrl":126,"description":13,"name":127,"publishDate":128,"pv":129,"score":130},"姜伟生",[39,40],"5454290fdc314840b8c8763d35225896","\u002Fimage\u002Fcover\u002F5454290fdc314840b8c8763d35225896.jpg","机器学习 : 全彩图解+微课+Python编程(鸢尾花书系列第7册)","2024-08-01 00:00:00",61,9.8,[]]