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lines changed Original file line number Diff line number Diff line change 134134- [ ] [ 你如何向非计算机专业的人来解释机器学习与数据挖掘?] ( https://www.quora.com/How-do-you-explain-Machine-Learning-and-Data-Mining-to-non-Computer-Science-people )
135135- [ ] [ 在罩子下的机器学习,博文简单明了地介绍了机器学习的原理] ( https://georgemdallas.wordpress.com/2013/06/11/big-data-data-mining-and-machine-learning-under-the-hood/ )
136136- [ ] [ 机器学习是什么?它是如何工作的呢?] ( https://www.youtube.com/watch?v=elojMnjn4kk&list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A&index=1 )
137+ - [ ] [ 深度学习——一份非技术性的简介] ( http://www.slideshare.net/AlfredPong1/deep-learning-a-nontechnical-introduction-69385936 )
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138139## 掌握机器学习
139- - [ ] [ 掌握机器学习的枉法 ] ( http://machinelearningmastery.com/machine-learning-mastery-method/ )
140+ - [ ] [ 掌握机器学习的方法 ] ( http://machinelearningmastery.com/machine-learning-mastery-method/ )
140141- [ ] [ 程序员的机器学习] ( http://machinelearningmastery.com/machine-learning-for-programmers/ )
141142- [ ] [ 掌握并运用机器学习] ( http://machinelearningmastery.com/start-here/ )
142143- [ ] [ Python机器学习小课程] ( http://machinelearningmastery.com/python-machine-learning-mini-course/ )
272273- [ ] [ 给开发者的关于机器学习的建议] ( https://dev.to/thealexlavin/machine-learning-advice-for-developers )
273274- [ ] [ 机器学习入门] ( http://pythonforengineers.com/machine-learning-for-complete-beginners/ )
274275- [ ] [ 为新手准备的机器学习入门教程] ( https://medium.com/@suffiyanz/getting-started-with-machine-learning-f15df1c283ea#.yjtiy7ei9 )
276+ - [ ] [ 初学者如何自学机器学习] ( https://elitedatascience.com/learn-machine-learning )
275277- [ ] [ 机器学习自学资源] ( https://ragle.sanukcode.net/articles/machine-learning-self-study-resources/ )
276278- [ ] [ 提升你的机器学习技能] ( https://metacademy.org/roadmaps/cjrd/level-up-your-ml )
277279- [ ] 用机器学习让Hacker News更具可读性
368370- [ ] [ 机器学习面试问题有哪些相同的?] ( https://www.quora.com/What-are-some-common-Machine-Learning-interview-questions )
369371- [ ] [ 什么是评价一个机器学习研究者的最好的问题?] ( https://www.quora.com/What-are-the-best-interview-questions-to-evaluate-a-machine-learning-researcher )
370372- [ ] [ 机器学习面试问题大搜集] ( http://analyticscosm.com/machine-learning-interview-questions-for-data-scientist-interview/ )
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373+ - [ ] [ 121个需要掌握的问题与回答 ] ( https://learn.elitedatascience.com/mlqa-welcome )
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374376## 我崇拜的公司
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