“Miao Fan”版本间的差异
第32行: | 第32行: | ||
[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. | + | [范淼;《Python深度学习实践:探秘谷歌TensorFlow》] [https://www.tensorflow.org/ Google 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)] | ||
第40行: | 第40行: | ||
++++++++++++++++++++++++++++ | ++++++++++++++++++++++++++++ | ||
− | [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)] [https://www. | + | [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)] [https://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf Yann LeCun, Yoshua Bengio & Geoffrey Hinton; Nature: Review of Deep Learning] |
[http://cs229.stanford.edu/materials.html Machine Learning (Stanford University)] [https://www.youtube.com/playlist?list=PLC5F94EBABE15D569 YouTube(视频)] [http://open.163.com/special/opencourse/machinelearning.html 网易公开课视频] | [http://cs229.stanford.edu/materials.html Machine Learning (Stanford University)] [https://www.youtube.com/playlist?list=PLC5F94EBABE15D569 YouTube(视频)] [http://open.163.com/special/opencourse/machinelearning.html 网易公开课视频] |
2016年10月7日 (五) 07:34的版本
++++++++++++++++++++++++++++
++++++++++++++++++++++++++++
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
[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)
Reinforcement Learning: An Introduction (MIT Press)
++++++++++++++++++++++++++++
Outstanding Friends: Wenbing Huang Dawei Yin