Difference between revisions of "Miao Fan"

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[范淼;《Python深度学习实践:探秘谷歌TensorFlow》] [https://www.tensorflow.org/ Google TensorFlow] [https://arxiv.org/pdf/1610.01178v1.pdf A Tour of TensorFlow]
 
[范淼;《Python深度学习实践:探秘谷歌TensorFlow》] [https://www.tensorflow.org/ Google TensorFlow] [https://arxiv.org/pdf/1610.01178v1.pdf A Tour of TensorFlow]
  
[范淼;《Python推荐系统实战》(Recommender System in Practice with Python Programming)]
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[范淼;《Python推荐系统实战》(Recommender System in Practice with Python Programming)] [https://arxiv.org/pdf/1606.07792v1.pdf Wide & Deep Learning for Recommender Systems]
  
  

Revision as of 12:50, 21 October 2016

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Curriculum Vitae 个人简历 新浪微博


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Google Scholar(谷歌学术档案)

DBLP(DBLP论文索引)

Kaggle Profile(Kaggle竞赛成绩)


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B.Eng Dissertation (北京邮电大学本科优秀毕业设计:基于百科知识的中文自动问题生成技术的研究与系统实现)

Ph.D. Research Proposal(清华大学博士开题报告:基于低维表示的大规模实体关系挖掘技术研究)

[Ph.D. Thesis (清华大学博士论文)] References(已发表的学术论文集)

Slides of NYU Special Talks(美国纽约大学授课讲义:Statistical NLP: A Machine Learning Perspective)


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范淼、李超;《Python机器学习及实践:从零开始通往Kaggle竞赛之路》; 清华大学出版社 (Tsinghua University Press) 书籍样章 京东购书 源代码 (Source Codes) Github

[范淼;《PySpark 2.0 分布式机器学习与大数据分析》 ;清华大学出版社 (Tsinghua University Press) 计划出版] YouTube视频 [源代码(Source Codes)]

[范淼;《Python深度学习实践:探秘谷歌TensorFlow》] Google TensorFlow A Tour of TensorFlow

[范淼;《Python推荐系统实战》(Recommender System in Practice with Python Programming)] Wide & Deep Learning for Recommender Systems


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Deep Learning(校对图书) 公开下载网址 Tutorial(教程) Yann LeCun, Yoshua Bengio & Geoffrey Hinton; Nature: Review of Deep Learning

Machine Learning (Stanford University) YouTube(视频) 网易公开课视频

Mining of Massive Datasets Youtube(视频)

PySpark 2.x YouTube视频 参考文档

Reinforcement Learning: An Introduction (MIT Press)

Foundations of Data Science


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Outstanding Friends: Wenbing Huang Dawei Yin