Difference between revisions of "Miao Fan"
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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://sites.google.com/view/miao-fan/home 主页（海外版）] |
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[http://weibo.com/fanmiaothu/ 新浪微博] | [http://weibo.com/fanmiaothu/ 新浪微博] | ||
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Visiting Scholar @ [https://www.nyu.edu/ 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：[http://cs.nyu.edu/grishman/ Ralph Grishman]； | Visiting Scholar @ [https://www.nyu.edu/ 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：[http://cs.nyu.edu/grishman/ Ralph Grishman]； | ||
| − | Postdoctoral Scholar @ [http://research.baidu.com/ Baidu Research] & [http://www.tsinghua.edu.cn/publish/newthuen/index.html 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：[http://ir. | + | Postdoctoral Scholar @ [http://research.baidu.com/ Baidu Research] & [http://www.tsinghua.edu.cn/publish/newthuen/index.html 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：[http://ir.baidu.com/phoenix.zhtml?c=188488&p=irol-govBio&ID=256144 王海峰 (百度)]、[http://www.thss.tsinghua.edu.cn/publish/soft/3641/2010/20101214090035662150715/20101214090035662150715_.html 王建民 (清华大学)]； |
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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.deeplearningbook.org/contents/acknowledgements.html Deep Learning（校对图书）] [http://www.deeplearningbook.org 公开下载网址] [http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial Tutorial(教程)] | + | [http://www.deeplearningbook.org/contents/acknowledgements.html Deep Learning（校对图书）] [http://www.deeplearningbook.org 公开下载网址] [https://github.com/exacity/deeplearningbook-chinese/releases/download/v0.5-beta/dlbook_cn_v0.5-beta.pdf 中文版] [http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial Tutorial(教程)] |
[https://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf Yann LeCun, Yoshua Bengio & Geoffrey Hinton; Nature: Review of Deep Learning] | [https://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf Yann LeCun, Yoshua Bengio & Geoffrey Hinton; Nature: Review of Deep Learning] | ||
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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
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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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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）
Reinforcement Learning: An Introduction (MIT Press)
Mathematics for Computer Science
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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
