{"id":13467708,"url":"https://github.com/fengdu78/lihang-code","last_synced_at":"2025-05-13T17:09:27.562Z","repository":{"id":37677966,"uuid":"159194100","full_name":"fengdu78/lihang-code","owner":"fengdu78","description":"《统计学习方法》的代码实现","archived":false,"fork":false,"pushed_at":"2023-08-22T09:26:05.000Z","size":15967,"stargazers_count":19274,"open_issues_count":50,"forks_count":6292,"subscribers_count":538,"default_branch":"master","last_synced_at":"2025-04-24T01:54:25.063Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/fengdu78.png","metadata":{"files":{"readme":"readme.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2018-11-26T15:48:58.000Z","updated_at":"2025-04-23T08:41:18.000Z","dependencies_parsed_at":"2022-07-12T16:42:58.412Z","dependency_job_id":"0b3135e6-dd56-48ca-86bf-96d36413706d","html_url":"https://github.com/fengdu78/lihang-code","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fengdu78%2Flihang-code","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fengdu78%2Flihang-code/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fengdu78%2Flihang-code/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fengdu78%2Flihang-code/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fengdu78","download_url":"https://codeload.github.com/fengdu78/lihang-code/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253990468,"owners_count":21995774,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-07-31T15:00:59.559Z","updated_at":"2025-05-13T17:09:22.548Z","avatar_url":"https://github.com/fengdu78.png","language":"Jupyter Notebook","readme":"# 《统计学习方法》第二版的代码实现\n\n李航老师编写的《统计学习方法》全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与支持向量机、提升方法、em算法、隐马尔可夫模型和条件随机场等。除第1章概论和最后一章总结外，每章介绍一种方法。叙述从具体问题或实例入手，由浅入深，阐明思路，给出必要的数学推导，便于读者掌握统计学习方法的实质，学会运用。\n\n《统计学习方法》可以说是机器学习的入门宝典，许多机器学习培训班、互联网企业的面试、笔试题目，很多都参考这本书。 \n\n今天我们将李航老师的《统计学习方法》第二版的代码进行了整理，并提供下载。\n\n非常感谢各位朋友贡献的自己的笔记、代码！\n\n2020年6月7日\n\n## 代码目录 \n\n第1章 统计学习方法概论\n\n第2章 感知机\n\n第3章 k近邻法\n\n第4章 朴素贝叶斯\n\n第5章 决策树\n\n第6章 逻辑斯谛回归\n\n第7章 支持向量机\n\n第8章 提升方法\n\n第9章 EM算法及其推广\n\n第10章 隐马尔可夫模型\n\n第11章 条件随机场\n\n第12章 监督学习方法总结\n\n第13章 无监督学习概论\n\n第14章 聚类方法\n\n第15章 奇异值分解\n\n第16章 主成分分析\n\n第17章 潜在语义分析\n\n第18章 概率潜在语义分析\n\n第19章 马尔可夫链蒙特卡洛法\n\n第20章 潜在狄利克雷分配\n\n第21章 PageRank算法\n\n第22章 无监督学习方法总结\n\n\n## 参考\n\nhttps://github.com/wzyonggege/statistical-learning-method\n\nhttps://github.com/WenDesi/lihang_book_algorithm\n\nhttps://blog.csdn.net/tudaodiaozhale\n\nhttps://github.com/hktxt/Learn-Statistical-Learning-Method\n\n代码整理和修改：机器学习初学者（公众号） ![gongzhong](images/gongzhong.jpg)\n\n\n知识星球：黄博的机器学习圈子![xingqiu](images/zhishixingqiu1.jpg)\n\n[知乎](https://www.zhihu.com/people/fengdu78)","funding_links":[],"categories":["Jupyter Notebook","Machine Learning","经典优质资料","A01_机器学习教程","Machine Learning Tutorials","人工智能"],"sub_categories":["2. Documentation","Data Management","书籍资源"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffengdu78%2Flihang-code","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffengdu78%2Flihang-code","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffengdu78%2Flihang-code/lists"}