datascience.jemdoc

# jemdoc: menu{MENU}{datascience.html}, nofooter
= Yao Zhang - Data Science
\n
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is related to data mining and big data. --- Wikipedia

#== Digital Image Processing

== Computational Intelligence

[./doc/note/datascience/LRS/NNorm.pdf  1. A proposition of nuclear norm]  ~~  [./doc/note/datascience/LRS/Tips.pdf  2. Some basic results of Low-Rank and Sparse]  ~~  [./doc/note/datascience/LRS/WLRR.pdf  3. Robust PCA via Weighted Low Rank]  ~~  [./doc/note/datascience/LRS/Schattenp.pdf  4. Schattenp Norm when $0\le p \le 1$]  ~~  [./doc/note/datascience/LRS/kernel.pdf  5. Subspace Clustering via Kernel Method]  ~~  [./doc/note/datascience/LRS/KSVD.pdf  6. KSVD]  ~~  [./doc/note/datascience/LRS/deepksvd.pdf  7. Deep KSVD]  ~~  [./doc/note/datascience/LRS/GSR.pdf  8. GSR]  ~~  [./doc/note/datascience/LRS/tensor_2009.pdf  9. Tensor SIAM 2009]  ~~  [./doc/note/datascience/LRS/tensor.pdf  10. Tensor SVD]  ~~  [./doc/note/datascience/LRS/NeumannNetworks.pdf  11. Neumann Networks]

== Unsupervised Learning

== Deep Learning

. ~~ [./doc/note/datascience/DL/1stIntro.pdf  Introduction to Neural Networks] 

. ~~ [./doc/note/datascience/DL/2ndAppro.pdf  Approximation Theory ] 

. ~~ [./doc/note/datascience/DL/3rdLFB.pdf  Loss Functions and Backpropagation]  

. ~~ [./doc/note/datascience/DL/lec1.pdf  CNN] ~ [./doc/note/datascience/DL/cnn.pdf  Slide ] 

. ~~ [./doc/note/datascience/DL/lec2.pdf  RNN \& LSTM \& Attention] ~ [./doc/note/datascience/DL/rnnLstmAttention.pdf  Slide ] 

 . ~~ [./doc/note/datascience/DL/opt.pdf  Optimization ] 


== Tips
 [./doc/note/Tips/tips4linux.pdf  Tips for Linux]  ~  [./doc/note/Tips/tips4github.pdf  Tips for github]  ~  [./doc/note/Tips/tips4vimtex.pdf  Tips for Vimtex]  ~  [./doc/note/Tips/Tips4installapp.pdf  Tips for Ubuntu]