http://www.cs.jhu.edu/~kchurch/
https://towardsdatascience.com/productising-tensorflow-keras-models-via-tensorflow-serving-69e191cb1f37
https://towardsdatascience.com/named-entity-recognition-ner-meeting-industrys-requirement-by-applying-state-of-the-art-deep-698d2b3b4ede
https://catonmat.net/top-100-books-part-one
https://www.amazon.com/Writing-Efficient-Programs-Prentice-Hall-Software/dp/013970244X

https://people.cs.umass.edu/~brenocon/inlp2017/schedule.html
http://machineslearner.com/blog/page2/
https://sites.google.com/site/nvhainlp/nlp/kien-thuc-co-ban-ve-xu-ly-ngon-ngu-tu-nhien
https://sites.google.com/site/nvhainlp/nlp/kien-thuc-co-ban-ve-xu-ly-ngon-ngu-tu-nhien/morpheme
https://www.google.com/search?client=ubuntu&hs=RgY&channel=fs&ei=j38HXZCeHrqNr7wP8MKqoAo&q=Ph%C3%A2n+t%C3%ADch+h%C3%ACnh+th%C3%A1i+t%E1%BB%AB&oq=Ph%C3%A2n+t%C3%ADch+h%C3%ACnh+th%C3%A1i+t%E1%BB%AB&gs_l=psy-ab.3...4642.4642..5019...0.0..0.106.106.0j1......0....1..gws-wiz.......0i71.CdRlCeyS408

morphology nlp
http://www.cs.upc.edu/~gatius/mai-inlp/morpho2.pdf
https://www.cs.bham.ac.uk/~pjh/sem1a5/pt2/pt2_intro_morphology.html
https://cl.lingfil.uu.se/~nivre/master/NLP-Morphology.pdf

3sg nlp
http://u.cs.biu.ac.il/~yogo/courses/sem2014/intro.pdf

https://www.google.com/search?client=ubuntu&channel=fs&q=Transformation-basedLearning&ie=utf-8&oe=utf-8
https://www.cs.jhu.edu/~rflorian/fntbl/tbl-toolkit/node3.html

https://ongxuanhong.wordpress.com/2016/09/02/gan-nhan-tu-loai-part-of-speech-tagging-pos/

Speech and Language Processing course
https://github.com/BastinFlorian/NLP-Courses-ENS-


https://en.wikipedia.org/wiki/Positive-definite_kernel
https://stats.stackexchange.com/questions/17773/what-is-the-difference-between-estimation-and-prediction
https://en.wikipedia.org/wiki/Generalized_linear_model
linking syntax and semantics http://www.cse.unsw.edu.au/~billw/cs9414/notes/nlp/seminterp/seminterp-2009.html
https://math.stackexchange.com/questions/222044/what-is-the-distribution-of-a-data-set

cs 224n assignments solution socialmedia-class.org/assignment3.html https://web.stanford.edu/class/cs224n/assignments/a2.pdf word2vec assignment
https://ermongroup.github.io/cs228-notes/

https://www.ssc.wisc.edu/~bhansen/crete/crete1.pdf https://statistics.stanford.edu/sites/g/files/sbiybj6031/f/PAR ONR 07.pdf cs229.stanford.edu/proj2017/final-reports/5244336.pdf https://www.facebook.com/groups/machinelearningcoban/search/?query=timestamp&epa=SEARCH_BOX
https://www.kaggle.com/francoisdubois/timestamp-variables https://www.data-to-viz.com https://forum.machinelearningcoban.com/t/time-series-plotting/1332/12 deal with timestamp data https://fluxicon.com/blog/2015/06/data-preparation-for-process-mining-part-ii-timestamp-headaches-and-cures/
https://arxiv.org/pdf/1710.08473.pdf forecast ahead by time https://stats.stackexchange.com/questions/342392/time-series-one-step-ahead-vs-n-step-ahead/342649#342649 https://otexts.com/fpp3/prediction-intervals.html https://machinelearningmastery.com/make-predictions-time-series-forecasting-python/ https://machinelearningmastery.com/time-series-forecast-uncertainty-using-confidence-intervals-python/ https://en.wikipedia.org/wiki/Autoregressive_integrated_moving_average
https://mlexplained.com/2018/08/18/kaggle-avito-demand-prediction-challenge-analysis-of-winning-submissions/
predict site:procul.org kaggle power demand kaggle demand prediction kaggle demand forecasting dự báo site:procul.org demand site:procul.org kaggle avito demand prediction

why need to normalize data to normal distribution https://www.quora.com/Why-should-we-normalize-a-distribution

https://www.facebook.com/groups/1738168866424224/permalink/2325540074353764/

inference neural network slow cutting neural network fast inference https://jacobgil.github.io/deeplearning/pruning-deep-learning
performance onnx vs tensorflow
onnx tensorflow serving https://medium.com/styria-data-science-tech-blog/running-pytorch-models-in-production-fa09bebca622
https://towardsdatascience.com/from-exploration-to-production-bridging-the-deployment-gap-for-deep-learning-8b59a5e1c819

https://www.cs.princeton.edu/courses/archive/fall18/cos597G/

https://www.cs.toronto.edu/~graves/preprint.pdf representation input to neural network https://www.researchgate.net/post/How_do_I_represent_input_variables_for_artificial_neural_network_design
https://discuss.pytorch.org/t/understanding-transform-normalize/21730 input of network pytorch

https://www.researchgate.net/publication/5142856_Using_Perl_for_Statistics_Data_Processing_and_Statistical_Computing perl data processing perl machine learning