Difference between revisions of "Miao Fan"

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[[文件: MF_PHOTO.jpg|180px]]
 
[[文件: MF_PHOTO.jpg|180px]]
 
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[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/04/Miao_Fan_s_Chinese_C_V_.pdf 个人简历]
[https://www.overleaf.com/read/qxjhwxwvyhfv Curriculum Vitae (个人简历)]
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[https://sites.google.com/view/miao-fan/home 主页(海外版)]
 
[http://weibo.com/fanmiaothu/ 新浪微博]
 
[http://weibo.com/fanmiaothu/ 新浪微博]
  
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[https://union-click.jd.com/jdc?d=lKjrlR&come=appmessage 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)] [http://www.tup.tsinghua.edu.cn/upload/books/yz/069392-01.pdf 书籍样章] [https://union-click.jd.com/jdc?d=lKjrlR&come=appmessage 京东购书] [http://pan.baidu.com/s/1bGp15G 源代码 (Source Codes)] [https://git.coding.net/fanmiao_thu/Python_ML_and_Kaggle.git Github] [勘误列表]
 
[https://union-click.jd.com/jdc?d=lKjrlR&come=appmessage 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)] [http://www.tup.tsinghua.edu.cn/upload/books/yz/069392-01.pdf 书籍样章] [https://union-click.jd.com/jdc?d=lKjrlR&come=appmessage 京东购书] [http://pan.baidu.com/s/1bGp15G 源代码 (Source Codes)] [https://git.coding.net/fanmiao_thu/Python_ML_and_Kaggle.git Github] [勘误列表]
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[《Python(深度)强化学习实战》]
  
 
[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] [https://www.youtube.com/playlist?list=PL-x35fyliRwhDv3g1dae8v2F6-_bzBfGK YouTube视频] [源代码(Source Codes)]
 
[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] [https://www.youtube.com/playlist?list=PL-x35fyliRwhDv3g1dae8v2F6-_bzBfGK YouTube视频] [源代码(Source Codes)]
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[http://www.wildml.com/ WildML]
 
[http://www.wildml.com/ WildML]
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[https://morvanzhou.github.io/tutorials/ Morvan莫烦机器学习视频]
  
  

Latest revision as of 03:58, 7 November 2019

MF PHOTO.jpg 个人简历 主页(海外版) 新浪微博

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B.Eng @ Beijing University of Posts and Telecommunications [北京邮电大学 软件学院 软件工程专业 工学学士学位] —— 导师:吴国仕、李晶;

Ph.D. in C.S. @ Tsinghua University [清华大学 计算机科学与技术系 计算机科学与技术专业 工学博士学位] —— 导师:郑方周强

Visiting Scholar @ New York University [国家留学基金委 公派联合培养博士 美国纽约大学计算机系] —— 导师:Ralph Grishman

Postdoctoral Scholar @ Baidu Research & Tsinghua University [百度-清华大学联合培养博士后 清华大学软件学院 信息系统工程专业] —— 联合导师:王海峰 (百度)王建民 (清华大学)


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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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Best B.Eng Dissertation @ Beijing University of Posts and Telecommunications (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)

Best Ph.D. Thesis Nomination @ Tsinghua University (清华大学计算机系优秀博士毕业生;清华大学校级优秀博士论文提名:基于表示学习的知识挖掘研究) Slides of thesis defense (答辩PPT) 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 [勘误列表]


[《Python(深度)强化学习实战》]

[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 谷歌官方视频教程 周莫烦简易视频教程

[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 中文版 Tutorial(教程)

Yann LeCun, Yoshua Bengio & Geoffrey Hinton; Nature: Review of Deep Learning

M.I.Jordan & T.M.Mitchell; Science: Machine learning Trends, perspectives, and prospects

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

Mathematics for Computer Science

Machine Learning Yearning

WildML

Morvan莫烦机器学习视频


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Pre-mentors/advisers: Ralph Grishman Ping Li Haifeng Wang Jianmin Wang Guoshi Wu Thomas Fang Zheng Qiang Zhou

Outstanding Friends: Chuang Gan Wenbing Huang Rui Yan Dawei Yin Shiqi Zhao Jianwen Zhang