Difference between revisions of "Miao Fan"

From cslt Wiki
Jump to: navigation, search
Line 32: Line 32:
 
[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)]
  
[范淼;《Python深度学习实践:探秘谷歌TensorFlow》] [https://www.tensorflow.org/ Google 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)]
 
[范淼;《Python推荐系统实战》(Recommender System in Practice with Python Programming)]

Revision as of 07:37, 7 October 2016

MF PIC.JPG

Curriculum Vitae 个人简历 新浪微博


++++++++++++++++++++++++++++

Google Scholar(谷歌学术档案)

DBLP(DBLP论文索引)

Kaggle Profile(Kaggle竞赛成绩)


++++++++++++++++++++++++++++

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)


++++++++++++++++++++++++++++

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)]


++++++++++++++++++++++++++++

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

++++++++++++++++++++++++++++

Outstanding Friends: Wenbing Huang Dawei Yin