我的研究生活

兴趣

• Cellular Automata (John von Neumann, E.F. Codd, John H. Conway, Stephen Wolfram, etc.; e.g., traffic flow modeling)
• Formal theorem proving/Type theory in mathmatical software programs(e.g., in Maple)
• Data Science/Machine learning/deep learning (Vladimir Vapnik, Leslie Valiant, Michael I. Jordan⭐️, Geoff Hinton, Yann Lecun⭐️, Yoshua Bengio⭐️, Andrew Ng⭐️, Dimitris Achlioptas⭐️, E. Candes⭐️, Michael Mahoney, Petros Drineas, Naftali Tishby⭐️)
• Random matrix theory (Eugene P. Wigner, Freeman Dyson, Athony Zee, Terence(Terry) Tao⭐️, L. N. Trefethen, Alan Edelman⭐️, Peter J. Forrester, R. J. Muirhead, Romain Couillet⭐️, Gerard Ben Arous⭐️, David Donoho⭐️, Zhidong Bai, etc.; e.g., applications in DL(optimization, saddle points, RNN))
• Tropical geometry/Semiring algebra (Imre Simon, Jean-Eric Pin, B. Sturmfels; e.g., piecewise linear function ReLU)
• Ultradiscrete system (Ryogo Hirota, S. Satsuma, Tetsuji Tokihiro, Daisuke Takahashi; e.g., soliton interaction)

博客

个人博客：

• Abigail See: A Deep Learning and NLP blog
• Adit Deshpande: CS Undergrad at UCLA
• ALGOBEANS: Layman tutorials in analytics
• ALGORITHMIA: AI in every application
• All Things Distributed: by Amazon’s VP & CTO Werner Vogels
• Andrew Brooks: data science side projects, thoughts & experiments
• Andrej Karpathy
• Andrew Gibiansky
• Andrew L. Beam: Machine Learning and Medicine
• Andrey Kurenkov
• AI, DL and NLP⭐️
• Analytics Vidhya
• Cal Newport
• Chris Albon
• Chris McCormick
• Christopher Rackauckas
• Christopher Olah: Neural Networks⭐️
• Cleve Moler: Matlab and MathWorks
• deepdish: Serving Up Chicago-Style Deep Learning
• Daniel C. Lacombe, Jr
• Denny
• 斗大的熊猫
• Francois Chollet⭐️⭐️
• Galea
• i am trask
• inFERENCe
• Jaan Altosaar: 物理与机器学习之间的思考
• Jeffrey Pennington: Physics(mathematical physics & high-energy physics) and Machine Learning(NLP and deep learning)
• John Langford: Machine Learning Theory
• Kasper Fred
• Kevin Modzelewski
• Lepisma
• Liam Schoneveld
• 林达华⭐️
• Machine Learning Mastery⭐️
• Michael Nielsen⭐️⭐️
• Mike J Innes: Julia Computing
• Moody Rd
• Neil Lawrence: Amazon Research Cambridge and University of Sheffield
• Nick Higham: President of SIAM
• Nikhil Buduma
• 非凸优化⭐️⭐️
• 大トロ
• Pete Warden
• Peter Norvig⭐️
• Random Thoughts
• Rick Wicklin: 查看他的其它文章
• Sebastian Ruder
• Tim Dettmers
• 陶哲轩: Fields Award Winner
• Ujjwal Karn
• Vijay Bhat: data scientist. rethinking the possible.
• 张驰原: Mocha.jl for deep learning⭐️

机构博客：

• AI Playbook: from a16z⭐️⭐️
• Apple Machine Learning Journal
• ARIMO
• Berkeley Artificial Intelligence Research(BAIR)
• Baidu Research⭐️
• DataCamp
• 深度学习⭐️
• DeepMind
• Distill⭐️⭐️
• IBM-Watson
• IEEE Spectrum
• Intel-Nervana
• 今日头条 技术博客
• KDnuggets
• Linkedin Engineering
• Linkedin Official Blog
• 美团点评技术团队
• Microsoft Azure Blog
• Microsoft Research-AI⭐️
• MonkeyLearn
• Nvidia Blog
• TeraData

杂志

• DataTau
• Hacker News
• Medium
• MIT Technology Review
• New Scientist
• Quanta
• TechCrunch
• O’Reilly
• Scientific American
• SIAM NEWS⭐️
• Washington Post
• 连线
• 哈佛商业评论
• Fast Company
• VentureBeat

问答类

• Quora
• stackoverflow
• mathoverflow
• StackExchange
• 知乎

项目

• C/C++
• Coq
• Haskell
• Julia
  • Numerical algorithms in matrix ensembles
  • Compressed sensing(Harmonic analysis)
  • Foundations of RMT
  • Free probability theory
  • Data science in Julia language
  • High Performance Computing in Julia language
• Maple
  • Dynamical behaviors in ultradiscrete systems
• Matlab
• Processing: from MIT Media Lab
• Python

其它

• A gallery of interesting Jupyter notebooks
• Deep learning papers reading roadmap⭐️
• JuliaCon 2017
• The neural network zoo⭐️⭐️

Written on January 15th, 2017 by 李军