online learning

http://www.mit.edu/~rakhlin/6.883/

https://homes.cs.washington.edu/~icano/projects/asml.pdf

ftp://ftp.sas.com/pub/neural/FAQ2.html#A_styles_batch_vs_inc

https://www.analyticsvidhya.com/blog/2015/12/complete-tutorial-time-series-modeling/

https://www.analyticsvidhya.com/blog/2016/02/time-series-forecasting-codes-python/

http://www.ulb.ac.be/di/map/gbonte/ftp/time_ser.pdf

https://machinelearningmastery.com/time-series-prediction-lstm-recurrent-neural-networks-python-keras/

https://medium.com/google-cloud/how-to-do-time-series-prediction-using-rnns-and-tensorflow-and-cloud-ml-engine-2ad2eeb189e8

https://blog.bigml.com/2013/03/12/machine-learning-from-streaming-data-two-problems-two-solutions-two-concerns-and-two-lessons/

https://dzone.com/articles/closed-loop-machine-learning-and-real-time-stream

http://www.cs.huji.ac.il/~shais/papers/OLsurvey.pdf

http://www.isn.ucsd.edu/pubs/nips00_inc.pdf

http://www.jmlr.org/papers/volume15/hoi14a/hoi14a.pdf

https://www.cs.cmu.edu/~avrim/Papers/regret-chapter.pdf

https://neo4j.com/blog/real-time-recommendation-engine-data-science/

https://www.slideshare.net/queirozfcom/online-machine-learning-introduction-and-examples

http://ttic.uchicago.edu/~shai/papers/ShalevThesis07.pdf

http://www.cs.cmu.edu/~avrim/Papers/survey.pdf

https://github.com/nachocano/asml