# machine_learning_beginner **Repository Path**: taylor-quan/machine_learning_beginner ## Basic Information - **Project Name**: machine_learning_beginner - **Description**: 机器学习入门，源地址https://github.com/fengdu78/machine_learning_beginner - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 3 - **Forks**: 0 - **Created**: 2020-04-29 - **Last Updated**: 2022-10-01 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 机器学习初学者公众号 ![公众号](images/gongzhong.jpg) 本仓库是“机器学习初学者”公众号发布的内容代码。 机器学习qq群：659697409（我们有9个群，加过一个就不需要加了） ## 这个仓库的内容目录 #### 2019年精选文章 [2019](2019/) #### AI基础 [AI_beginner](AI_beginner/) #### 深度学习内容 - 1.[PyTorch60分钟入门（中文翻译）](PyTorch_beginner/)（目录名：PyTorch_beginner） - 2.[Python深度学习原书代码中文翻译](deep-learning-with-python-notebooks/)（目录名：deep-learning-with-python-notebooks） - 3.[强烈推荐的TensorFlow、Pytorch和Keras的样例资源](deep-learning-with-tensorflow-keras-pytorch/)（目录名：deep-learning-with-tensorflow-keras-pytorch） #### Python基础 - 1.[两天入门Python](python-start/)(目录名：python-start) - 2.[适合初学者快速入门的Numpy实战全集](numpy/)(目录名：numpy) - 3.[matplotlib学习之基本使用](matplotlib/)(目录名：matplotlib) - 4.[Sklearn入门经典案例](pyparis-2018-sklearn/)(目录名：pyparis-2018-sklearn) - 5.[两天学会pandas](pandas/)(目录名：pandas) ## 本站的其他开源仓库 #### 本人整理 - 1.[吴恩达老师的机器学习课程个人笔记](https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes) - 2.[deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）](https://github.com/fengdu78/deeplearning_ai_books) - 3.[《统计学习方法的代码实现》](https://github.com/fengdu78/lihang-code) #### 大神之作 - 1.[徐亦达老师的机器学习资料分享](https://github.com/roboticcam/machine-learning-notes) - 2.[华校专老师的笔记分享](http://www.huaxiaozhuan.com/) - 3.[LFD习题解答（林轩田机器学习课程内容）（作者秦臻）](https://github.com/Doraemonzzz/Learning-from-data) > 以下为是公众号创立以来的精选原创文章，适合初学者入门 AI。本文建议用微信收藏用碎片时间学习。（黄海广） ## 一、前言 AI 初学者最大的问题就是： **资料太多！看不完！！不知道如何取舍！！** 我把 公众号创办以来的原创文章进行整理，文章适合**本科、硕士以及刚接触机器学习的博士**。 学完这些文章学完以后，就基本入门了。 入门以后，遇到问题能上网搜索解决了，也知道接下来应该学什么。 本文建议用微信收藏，利用碎片时间学习。 #### 作者简介： [那些年做的学术公益-你不是一个人在战斗](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484487&idx=1&sn=1df61f5f1ae6838f2eef1f4a3c702733&chksm=97048ffba07306edb4e816f8fc6ef8bdeb33ed644e68b4353649697fa0c11044f26c3bf788e8&scene=21#wechat_redirect) ## 二、学习路线 - [首发：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484737&idx=1&sn=27c52b4bc4ca98d3ab817344b84226cc&chksm=97048efda07307eb78d4f4ec0039a386a658404156b051af0cb715fafa8d2ae66cbe49343bf3&scene=21#wechat_redirect)[适合初学者入门人工智能的路线及资料下载](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484737&idx=1&sn=27c52b4bc4ca98d3ab817344b84226cc&chksm=97048efda07307eb78d4f4ec0039a386a658404156b051af0cb715fafa8d2ae66cbe49343bf3&scene=21#wechat_redirect) 这篇文章为初学者提供了入门的路线。包含数学基础、python 入门、机器学习、深度学习、特征工程入门等。并把代码放在了 github 仓库： https://github.com/fengdu78/Data-Science-Notes - [机器学习在线手册：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247486187&idx=1&sn=3c86ade48695ce102e93fa813c55f126&chksm=97048157a07308419d900bec1ff4699092c62c7ed331a334734a4225db0b2274a7b134153037&scene=21#wechat_redirect)[像背托福单词一样学机器学习](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247486187&idx=1&sn=3c86ade48695ce102e93fa813c55f126&chksm=97048157a07308419d900bec1ff4699092c62c7ed331a334734a4225db0b2274a7b134153037&scene=21#wechat_redirect) 这篇文章将机器学习的精华部分做成了手册，打开微信就能学习，适合平时时间少的朋友学习机器学习，可以在通勤的时候在手机上学习，建议收藏本文慢慢学习 ## 三、基础知识 - [带你少走弯路！](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485787&idx=1&sn=d53e991935fc6def2919b2bed6111f8d&chksm=970482e7a0730bf17c9fc7f5a639a21331be477af74b039ec56c0a4eaf0220259733d9852684&scene=21#wechat_redirect)[！](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485787&idx=1&sn=d53e991935fc6def2919b2bed6111f8d&chksm=970482e7a0730bf17c9fc7f5a639a21331be477af74b039ec56c0a4eaf0220259733d9852684&scene=21#wechat_redirect)[黄博整理的机器学习数学基础资料来帮你（可在线阅读）](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485787&idx=1&sn=d53e991935fc6def2919b2bed6111f8d&chksm=970482e7a0730bf17c9fc7f5a639a21331be477af74b039ec56c0a4eaf0220259733d9852684&scene=21#wechat_redirect) 上面这篇文章是数学基础，也是以下五篇文章的整合版本，可以在线阅读，也可以根据需要分别阅读。 - [首发：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485293&idx=2&sn=2650e61d6268f667333e86cb52ab1df1&chksm=97048cd1a07305c73229a0b3daf887ac4960fcbd3f378bbc0b40b9b38203fca387b29218fcbd&scene=21#wechat_redirect)[吴恩达的 CS229 的数学基础（概率论），有人把它做成了在线翻译版本！](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485293&idx=2&sn=2650e61d6268f667333e86cb52ab1df1&chksm=97048cd1a07305c73229a0b3daf887ac4960fcbd3f378bbc0b40b9b38203fca387b29218fcbd&scene=21#wechat_redirect) - [首发：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485221&idx=2&sn=105073d243e1d39e10c7ad3dd22043c8&chksm=97048c99a073058fd51d33990ed476ff34acbe22aa7f52cdcd396f2283b22312feafbffb0e5b&scene=21#wechat_redirect)[吴恩达的 CS229 的数学基础（线性代数），有人把它做成了在线翻译版本！](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485221&idx=2&sn=105073d243e1d39e10c7ad3dd22043c8&chksm=97048c99a073058fd51d33990ed476ff34acbe22aa7f52cdcd396f2283b22312feafbffb0e5b&scene=21#wechat_redirect) - [在线阅读！](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[！](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[机器学习数学精华：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[高等数学](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect) - [在线阅读！](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[！](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[机器学习数学精华：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[线性代数](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect) - [在线阅读！！机器学习数学精华：概率论与数理统计](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=5&sn=af7c82f85740eac5672080d936869639&chksm=970482b7a0730ba13b6c4be0a40a0dc6c98c500ff9ea29dca61bba592513236144148320636c&scene=21#wechat_redirect) ## 四、机器学习 原创作品为以下三个： - [吴恩达机器学习课程笔记及资源（github 标星 12000+，提供百度云镜像）](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484544&idx=1&sn=c5b92a7c4a2bdca10d92ff06dbb315c4&chksm=97048f3ca073062a00c2e961daa9c17585d8b5cb8e73229b5b0364a6fc680b242dd7b409bd23&scene=21#wechat_redirect) - [《统计学习方法》的 python 代码实现（github 标星 7200+）](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484580&idx=1&sn=7cf0ca2e05fc1ed71dff380bf1f60ff6&chksm=97048f18a073060e85ae439fd458bd976bf21366ca2b36ed3aeefda297b47d5c5a91196a4513&scene=21#wechat_redirect) - [推荐：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484360&idx=1&sn=d1859797428994bdb2b265aa4ddb98b9&chksm=97048874a07301627e89152fd2f84ba82d005348f7f04723a4e10facd463b8607691d6510678&scene=21#wechat_redirect)[《机器学习实战：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484360&idx=1&sn=d1859797428994bdb2b265aa4ddb98b9&chksm=97048874a07301627e89152fd2f84ba82d005348f7f04723a4e10facd463b8607691d6510678&scene=21#wechat_redirect)[基于 Scikit-Learn 和 TensorFlow》中文翻译和代码下载](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484360&idx=1&sn=d1859797428994bdb2b265aa4ddb98b9&chksm=97048874a07301627e89152fd2f84ba82d005348f7f04723a4e10facd463b8607691d6510678&scene=21#wechat_redirect) 后来又制作成了在线阅读版本： - [带你少走弯路：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485997&idx=1&sn=975216fdafe7e09bc515c944aaf7a26a&chksm=97048191a0730887950f73c6774921eefd0e26da5b3568f100cf6c45f22e783514076624120d&scene=21#wechat_redirect)[五篇文章学完吴恩达机器学习](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247485997&idx=1&sn=975216fdafe7e09bc515c944aaf7a26a&chksm=97048191a0730887950f73c6774921eefd0e26da5b3568f100cf6c45f22e783514076624120d&scene=21#wechat_redirect) - [经典复现：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247486130&idx=2&sn=401a94b7db6e0e531ab3a745d3a1e3ed&chksm=9704810ea073081866aa98753412945734be9e217b8488c26bd0a66d54fbedf9c84f8c07873a&scene=21#wechat_redirect)[《统计学习方法》的代码实现（在线阅读！](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247486130&idx=2&sn=401a94b7db6e0e531ab3a745d3a1e3ed&chksm=9704810ea073081866aa98753412945734be9e217b8488c26bd0a66d54fbedf9c84f8c07873a&scene=21#wechat_redirect)[）](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247486130&idx=2&sn=401a94b7db6e0e531ab3a745d3a1e3ed&chksm=9704810ea073081866aa98753412945734be9e217b8488c26bd0a66d54fbedf9c84f8c07873a&scene=21#wechat_redirect) #### 机器学习相关 - [机器学习练习数据哪里找？](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484828&idx=1&sn=fbd9a75c363580e85d7000fd02ad56af&chksm=97048e20a07307369410f16924178d836587b4407abb4f3e5c9f3017f9adda9b5538fef6f912&scene=21#wechat_redirect)[两行代码搞定！](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484828&idx=1&sn=fbd9a75c363580e85d7000fd02ad56af&chksm=97048e20a07307369410f16924178d836587b4407abb4f3e5c9f3017f9adda9b5538fef6f912&scene=21#wechat_redirect) - [学完可以解决 90%以上的数据分析问题-利用 python 进行数据分析第二版（代码和中文笔记）](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484383&idx=1&sn=de695ff5e6a3e36a1c54a4a498e36a95&chksm=97048863a07301759227c74c174f6596c9da6fbf40b2fa276f87b1e845c808cacd70b51c7f6a&scene=21#wechat_redirect) - [特征工程的宝典-《Feature Engineering for Machine Learning》翻译及代码实现](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484297&idx=1&sn=c862ea44abc4f90c52c5d1e9609bd9d7&chksm=97048835a07301239f1bcfcb1ef0eb66058dcb6cce2acfc8f04bbee6660f20d846fbca79a0f0&scene=21#wechat_redirect) ## 五、深度学习 #### 吴恩达深度学习课程笔记和资源 - [吴恩达深度学习笔记及视频等资源（github 标星 8500+，提供百度云镜像）](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484558&idx=1&sn=d2033198fa6227a4cd561c70a93f2e2a&chksm=97048f32a07306245660808fe46569d8999491108a3d37eb833a27c8f597cd3a2c18852df014&scene=21#wechat_redirect) #### TensorFlow 入门： - [带你少走弯路：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484633&idx=1&sn=adf2dfee2bf09e6dab0a67d329bd0c50&chksm=97048f65a073067365daa419808913b50872a18ef9bb16a5011f90967eb89c335fb204c027d2&scene=21#wechat_redirect)[强烈推荐的 TensorFlow 快速入门资料和翻译（可下载）](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484633&idx=1&sn=adf2dfee2bf09e6dab0a67d329bd0c50&chksm=97048f65a073067365daa419808913b50872a18ef9bb16a5011f90967eb89c335fb204c027d2&scene=21#wechat_redirect) #### keras 入门： - [带你少走弯路：强烈推荐的 Keras 快速入门资料和翻译（可下载）](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484794&idx=1&sn=9b52adc9138fda3d404dff24e03d14b5&chksm=97048ec6a07307d01ae2c93aa887d3c6ac6ec5f9d2ed5a5b8260182e3f47fae3ea9f08a1a0bf&scene=21#wechat_redirect) #### Pytorch入门： - [带你少走弯路：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484721&idx=2&sn=f2c6084354c912d91fbbb7f09adaf4ac&chksm=97048e8da073079b40d8a4cad5c016d762e1668ffd52f2d04bcb702e4530a9a275d73035ca9c&scene=21#wechat_redirect)[强烈推荐的 Pytorch 快速入门资料和翻译（可下载）](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484721&idx=2&sn=f2c6084354c912d91fbbb7f09adaf4ac&chksm=97048e8da073079b40d8a4cad5c016d762e1668ffd52f2d04bcb702e4530a9a275d73035ca9c&scene=21#wechat_redirect) ### 其他资料 - [首发：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484411&idx=1&sn=0f95762a29249ea40b11edd24648c8d0&chksm=97048847a0730151f4bdd1d99ccf454206108fcf7f5b61b100f3dc39a7c46f926fc3da084c72&scene=21#wechat_redirect)[深度学习入门宝典-《python 深度学习》原文代码中文注释版及电子书](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484411&idx=1&sn=0f95762a29249ea40b11edd24648c8d0&chksm=97048847a0730151f4bdd1d99ccf454206108fcf7f5b61b100f3dc39a7c46f926fc3da084c72&scene=21#wechat_redirect) - [强烈推荐的 TensorFlow、Pytorch 和 Keras 的样例资源（深度学习初学者必须收藏）](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484393&idx=1&sn=c22c28eb324e052bdb5a399915c0b1c4&chksm=97048855a073014366257382f64e44b7ef6dcc59a0c3991abe0bb4128c0e471e28cf328ae9e4&scene=21#wechat_redirect) - [Ubuntu 18.04 深度学习环境配置（CUDA9.0+CUDDN7.4+TensorFolw1.8）](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484401&idx=1&sn=73e97612c8a8c6cbb65461f999c024ff&chksm=9704884da073015bfc9e3ee0d5c9765f9a48bee1091da319d024de63bc2d202c9a53ca6057b7&scene=21#wechat_redirect) ## 六、Python 相关 - [学习 python 入门的个人建议及资料](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484426&idx=1&sn=c1971be3d85a8c247a5c77bfd925733d&chksm=97048fb6a07306a0ad6f51f1aa90225c685e46ad5adddf929a110cdd46ed9105ff1c1b1a90e9&scene=21#wechat_redirect) - [Python 环境的安装（Anaconda+Jupyter notebook+Pycharm）](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484364&idx=1&sn=2d7cf6b8d8a4647a32459cb3798f3d76&chksm=97048870a0730166a7c2e9be889cb926b98585947d123500d958f2afe5afbfd21a5718684896&scene=21#wechat_redirect) - [Python 代码写得丑怎么办？](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484361&idx=1&sn=086b8b9cbed37fd1932b6a8e6e517e2d&chksm=97048875a07301633726942278aac93d005fc673dcf740b8f6d6c75c544d0254828dc7e60b58&scene=21#wechat_redirect)[推荐几个神器拯救你](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484361&idx=1&sn=086b8b9cbed37fd1932b6a8e6e517e2d&chksm=97048875a07301633726942278aac93d005fc673dcf740b8f6d6c75c544d0254828dc7e60b58&scene=21#wechat_redirect) - [Numpy 练习题 100 题-提高你的数据分析技能](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484368&idx=1&sn=9ec8ab2ab1f368b877799c90d0cdc671&chksm=9704886ca073017a452532d35129f4923b895c09e43e9e9debaa8261d895540462ab5dbda239&scene=21#wechat_redirect) - [Pandas 练习题-提高你的数据分析技能](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484373&idx=1&sn=e48f845dccdec3c912e6cd16c7e363a8&chksm=97048869a073017fd8d4dd571807dd220940c7c9d729cf9c45fb66bab37ae0bc741272e79135&scene=21#wechat_redirect) - [python 绘图工具基础-matplotlib 学习之基本使用](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484389&idx=1&sn=7ab4f99f76b02a5198740c2b5fde91dc&chksm=97048859a073014f9fda1dc00eef5b47b78c15def4478463bc4bba773790474b225ff9606e8e&scene=21#wechat_redirect) - [数据可视化的利器-Seaborn 简易入门](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484376&idx=1&sn=cd3ac06f4a0125eebb317578db3c4ec5&chksm=97048864a0730172f24c35e922573763213f2a2c0da4a6a8d2787d0f09315a3eac6e37634997&scene=21#wechat_redirect) ## 七、NLP - [一些 NLP 的入门资料参考](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484419&idx=1&sn=3a21e26b420fcd52d17cf3e1a456ee10&chksm=97048fbfa07306a9f0454fa330155e16127f6020525986ccc0fcf182c089b08b9b503c888a95&scene=21#wechat_redirect) - [推荐：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484317&idx=1&sn=83e5d0bc7258c49c2427be4afa6cb588&chksm=97048821a0730137fc9df879f8e0d0ae9cbd88160d40750aaa4b3e5c7accd85e328e7c53c451&scene=21#wechat_redirect)[常见 NLP 模型的代码实现（基于 TensorFlow 和 PyTorch）](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484317&idx=1&sn=83e5d0bc7258c49c2427be4afa6cb588&chksm=97048821a0730137fc9df879f8e0d0ae9cbd88160d40750aaa4b3e5c7accd85e328e7c53c451&scene=21#wechat_redirect) - [图解 word2vec（原文翻译）](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484301&idx=1&sn=ef50f185d8c41be4f54e141a9b4d0923&chksm=97048831a073012770f6b7bab14c3ff61e4215f24b38b9e98b701384ac798f2b6fee964816e6&scene=21#wechat_redirect) ## 八、学术技巧 - [推荐几个提高工作效率的神器](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484301&idx=1&sn=ef50f185d8c41be4f54e141a9b4d0923&chksm=97048831a073012770f6b7bab14c3ff61e4215f24b38b9e98b701384ac798f2b6fee964816e6&scene=21#wechat_redirect) - [科研工作者的神器--zotero 论文管理工具](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484429&idx=1&sn=5663338e5c76374512fa354d68b5a67d&chksm=97048fb1a07306a70bd1259038701cd7aeca49482a593646d1399166b87071b3ddc35ae4df4d&scene=21#wechat_redirect) - [分享：](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484279&idx=1&sn=786aa47073fa3522f4cce1493fba9f11&chksm=970488cba07301dd977fef7b761843dc6b84d26a62daff79e1121433090538b42aa3de5cb0fb&scene=21#wechat_redirect)[我是怎么在 github 上找到优秀的仓库的？](http://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==&mid=2247484279&idx=1&sn=786aa47073fa3522f4cce1493fba9f11&chksm=970488cba07301dd977fef7b761843dc6b84d26a62daff79e1121433090538b42aa3de5cb0fb&scene=21#wechat_redirect) ## 总结 本文总结了“**机器学习初学者**”公众号创立以来的精选**原创**文章，可以作为 AI 入门的宝典，让初学者少走弯路，强烈建议**收藏**本文！ -------------------- # 本站2018年的所有文章 **机器学习资源** - [良心推荐：机器学习入门资料汇总及学习建议（2018版）](http://mp.weixin.qq.com/s?__biz=Mzg5NzAxMDgwNg==&mid=2247484000&idx=1&sn=92f198b840073e79e1a267d15a48a279&chksm=c0791f79f70e966fccd525bc2ecb11d328a12f566ccdc781132ffeeb41c484c1f7757db03911&scene=21#wechat_redirect) - [黄海广博士的github镜像下载（机器学习及深度学习资源）](http://mp.weixin.qq.com/s?__biz=Mzg5NzAxMDgwNg==&mid=2247483810&idx=1&sn=b35ff5aea7cc2a63c459c7f172263a2d&chksm=c0791cbbf70e95ad2e1cf7109cb50422bc07d0db6cbad502d11d3194aa92c608d5053f218cdd&scene=21#wechat_redirect) - [吴恩达老师的机器学习和深度学习课程笔记打印版](http://mp.weixin.qq.com/s?__biz=Mzg5NzAxMDgwNg==&mid=2247483678&idx=1&sn=da7de252a11a1097e50381a27cb2cfb1&chksm=c0791c07f70e951178054c7d4acc88becfccf953f83a2d616f8508d8bfa3d31d8cdec0c6979f&scene=21#wechat_redirect) - [吴恩达老师机器学习教程中文笔记-在线版](http://mp.weixin.qq.com/s?__biz=Mzg5NzAxMDgwNg==&mid=2247483672&idx=1&sn=1845db207245efc9d33eeede5ea4b99e&chksm=c0791c01f70e9517cfb80b17d0e72836c5c573b33d9bcdc4ec57f02b6b73260d9c3e907a81e0&scene=21#wechat_redirect) - [Coursera机器学习课程代码作业-Python版本](http://mp.weixin.qq.com/s?__biz=Mzg5NzAxMDgwNg==&mid=2247483784&idx=1&sn=6c158b9f13ebc612f0fb967323df16c4&chksm=c0791c91f70e95874606edc1a4a0fc38e5063d2634963c793d85c18e5d396be059176bd8d0d6&scene=21#wechat_redirect) - [Deeplearning.ai深度学习课程笔记-在线版](http://mp.weixin.qq.com/s?__biz=Mzg5NzAxMDgwNg==&mid=2247483694&idx=1&sn=f2d7c0be70d0fd17ee6a685cba6f399d&chksm=c0791c37f70e9521daf50bbee06f925505b61ec963397aba08af87925081f019f33ca27ffe5e&scene=21#wechat_redirect) - [首发：深度学习测试题中英对照版](http://mp.weixin.qq.com/s?__biz=Mzg5NzAxMDgwNg==&mid=2247483772&idx=1&sn=7046f9f8d5ae0329c6ab25d1fd8510d3&chksm=c0791c65f70e95734cfb3405658049209036c7097cbb17bc62816523acdc4c2ccca43d1bafdd&scene=21#wechat_redirect) - [机器学习必备宝典-《统计学习方法》的python代码实现、电子书及课件](http://mp.weixin.qq.com/s?__biz=Mzg5NzAxMDgwNg==&mid=2247483911&idx=1&sn=0aa891449692d85382a9b2b5016728bb&chksm=c0791f1ef70e960822c7b67b4216f6c7dc55b2c0f3f75ec7527523daea9ad25b3f86b94d5bec&scene=21#wechat_redirect) - [斯坦福大学机器学习课程资料-吴恩达老师主讲（2008版）](http://mp.weixin.qq.com/s?__biz=Mzg5NzAxMDgwNg==&mid=2247483778&idx=1&sn=f1fe52a5451eef4e4c6d8463d01621ef&chksm=c0791c9bf70e958d4c57d0f9b2df37ae9cdbed304df030a27161a0ad7f9872926f217e6032d3&scene=21#wechat_redirect) - [机器学习训练秘籍完整中文版下载（吴恩达老师新作）](http://mp.weixin.qq.com/s?__biz=Mzg5NzAxMDgwNg==&mid=2247483815&idx=1&sn=c220c09741e942b6d402f1090a2d72da&chksm=c0791cbef70e95a88745a8df9b3f2f0e2fe93591a21a3f4c331a920d74cdc6bf564ab33ff8df&scene=21#wechat_redirect) - [首发：深度学习入门宝典-《python深度学习》原文代码中文注释版及电子书](http://mp.weixin.qq.com/s?__biz=Mzg5NzAxMDgwNg==&mid=2247483804&idx=1&sn=9e862f6d127d70c2619e362c499e15b1&chksm=c0791c85f70e9593cd6106679feaac4b1eace9f717b788f9fbbae05c1b198308c45342ea6992&scene=21#wechat_redirect) - 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