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📝📝📝Learning Machine Learning/Deep Learning

learnML 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# 机器学习之路
在线课程
-----------------
>机器学习
+ Andrew Ng [Machine Learning][3]课程        __[5星推荐]__
    - 可作为机器学习入门。理论推导深入浅出，容易理解。
    - 课程内容成体系，最好完成作业来帮助掌握。

+ Udacity [Machine Learning advanced][5]课程        __[4星推荐]__
    - 有专门的导师“监督”完成课程，互动性较好，课后项目有专人批阅。
    - 提示此课程是付费课程(>4k)，较为适合在职人员利用业余时间充电。

+ 邹博 [机器学习][12]课程        __[4星推荐]__ 
    - 讲师是中科院博士，深入浅出，资料丰富。
    - 提示此课程是付费课程(<0.5k),
    
+ 林轩田 [机器学习基石][4]课程        __[3星推荐]__  
    - 讲解了机器学习理论和数学推导，需要数学基础扎实。
    - 它的姊妹篇[机器学习技法][5](需翻墙)也是推导为主。

+ Google [机器学习速成][14]课程         __[4星推荐]__
    - Google出品，暂未学习

>深度学习
+ Jeremy Howard [Practical Deep Learning For Coders][1]课程        __[4星推荐]__
    - 课程着重上手实践为主，将调Learn by doing。讲师对于如何学习有着深刻的认识。
    - [Jeremy Howard和Rachel Thomas谈论到一些教学方法][8](需翻墙) 
    - 网上好评较多，暂未学习，需翻墙

+ Li FeiFei [Convolutional Neural Networks for Visual Recognition][11]课程        __[5星推荐]__
    - 炙手可热的斯坦福课程，系统地讲解了深度学习在视觉识别中的理论和实践。
    - 主要由李飞飞博士生讲解，对于模型背后的原理有着深刻的讲解。

+ Andrew Ng [Deep Learning][7]课程        __[5星推荐]__
    - 好评较多，暂未学习

+ Udacity [Deep Learning with Google][2]课程        __[3星推荐]__
    - 理论讲解不多，偏重于上手训练。
    - 讲师来自Google，课后有实践项目。

+ 曹健 [人工智能实践：Tensorflow笔记][15]课程        __[4星推荐]__
    - 暂未学习
    - 讲师来自北大，课后有实践项目。

无味杂谈
------------
+ 以下三取，难度以此陡增。
> __获取__ /翻墙(搬瓦工“一键SS”和支付宝付款)          
>> __读取__ /英语是极其重要的信息载体。               
>>> __汲取__ /学习方法。

AI有趣应用
-------------
+ [The smart copilot for programmers][9]
+ [Life is full of decisions,have the answers at your hand][10]
+ [Microsoft Releases 125 million Building Footprints in the US as Open Data][13]

[1]:http://course.fast.ai/
[2]:https://www.udacity.com/course/deep-learning--ud730
[3]:https://www.coursera.org/learn/machine-learning/
[4]:https://www.coursera.org/learn/ntumlone-mathematicalfoundations
[5]:https://cn.udacity.com/course/machine-learning-engineer-nanodegree--nd009-cn-advanced
[6]:https://www.youtube.com/watch?v=A-GxGCCAIrg&list=PLXVfgk9fNX2IQOYPmqjqWsNUFl2kpk1U2
[7]:https://www.coursera.org/specializations/deep-learning
[8]:https://www.youtube.com/watch?v=kzt3-FHdAeM
[9]:https://kite.com/
[10]:https://www.iboske.com/
[11]:http://www.mooc.ai/course/268
[12]:http://www.chinahadoop.cn/course/1068
[13]:https://blogs.bing.com/maps/2018-06/microsoft-releases-125-million-building-footprints-in-the-us-as-open-data/
[14]:https://developers.google.com/machine-learning/crash-course/
[15]:https://www.icourse163.org/course/PKU-1002536002

learnML

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