“Miao Fan”版本间的差异
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[https://www.cs.cornell.edu/jeh/book2016June9.pdf Foundations of Data Science] | [https://www.cs.cornell.edu/jeh/book2016June9.pdf Foundations of Data Science] | ||
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+ | [https://courses.csail.mit.edu/6.042/spring17/mcs.pdf Mathematics for Computer Science] | ||
2017年3月7日 (二) 07:17的版本
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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: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]
[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 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
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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