“Miao Fan”版本间的差异
第4行: | 第4行: | ||
[个人简历] | [个人简历] | ||
[http://weibo.com/fanmiaothu/ 新浪微博] | [http://weibo.com/fanmiaothu/ 新浪微博] | ||
− | |||
++++++++++++++++++++++++++++ | ++++++++++++++++++++++++++++ | ||
第13行: | 第12行: | ||
[http://www.kaggle.com/michaelfan Kaggle Profile(Kaggle竞赛成绩)] | [http://www.kaggle.com/michaelfan Kaggle Profile(Kaggle竞赛成绩)] | ||
− | |||
++++++++++++++++++++++++++++ | ++++++++++++++++++++++++++++ |
2017年6月4日 (日) 11:26的版本
[Curriculum Vitae] [个人简历] 新浪微博
++++++++++++++++++++++++++++
++++++++++++++++++++++++++++
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)
++++++++++++++++++++++++++++
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]
[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
++++++++++++++++++++++++++++
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)
Reinforcement Learning: An Introduction (MIT Press)
Mathematics for Computer Science
++++++++++++++++++++++++++++
Pre-mentors/advisers: Ralph Grishman Guoshi Wu Thomas Fang Zheng Qiang Zhou
Outstanding Friends: Chuang Gan Wenbing Huang Rui Yan Dawei Yin Shiqi Zhao Jianwen Zhang