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机器学习师从Andrew Ng(吴恩达),获得在Coursera平台上斯坦福大学Andrew Ng(吴恩达教授)机器学习(Machine Learning)的资格证书,为了有一个平台和大家分享和交流机器学习,因此特地在此进行课程的:笔记整理,重点划分,内置习题,在线习题,在线编程题等整理。后期会持续更新吴恩达教授的深度学习的课程,以及后期参加Kaggle比赛的全过程,希望大家持续关注噢。

Home Page: https://hongyuxie.github.io/MachineLearning/

CSS 2.48% HTML 0.80% MATLAB 87.92% JavaScript 8.80%
machine-learning andrew-ng atom coursera amwiki github-pages

machinelearning's Introduction

先秀一下本人机器学习资格认证证书,让大家可以放心Follow

Machine Learning Qualification Certificate

关于MachineLearning这个项目说明

Robot logo

关于构建这个学习文档构建所依赖的工具

  • Atom          --编辑软件
  • NodeJS      --不安装的话,amWiki有可能装不上
  • amWiki       --Atom的插件
  • Markdown   --需要会基本语法
  • Mindjet       --思维导图
  • GitHub       --你懂的,分布式版本控制工具
  •                   --Git Bash
  •                   --Git CMD
  •                   --Git GUI
  •                   --GitHub Desktop
  • TortoiseGit  --你懂的
  • 更多等你去发现....

** 总结一下就是:这个学习文档的构建是基于:Atom+amWiki(Markdown)+Mindjet+GitHub+TortoiseGit构建的!!期待你的加入,一起完善,造福大众!!** ** 当然了,我非常期待你们的加入哦!!

MachineLearning课程学习文档效果

[Learn MachineLearning By The Web Docs]

项目的GitHub地址

[ view this project on Github ]
GitHub:

关于学习手册最终完成第一版日期

按照我本人的学习和整理的进度计划,这门课程学习手册最终整理完善日期大约是:2017年09月上旬

关于后续计划

等到这个手册完善之后(也就是2017年09月上旬后)

  • 第一个计划:由于本门课程所涉及的算法的实现都是是基于Octave/Matlab的,因此,后续会将这些算法用Java/Python重新实现一遍,并提交到该项目中。
  • 第二个计划:深入研究一些深度学习/强化学习框架,于此平行的计划是参与Kaggle比赛,并将比赛所有过程和代码同步到该项目中。

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