Appendix: Productionalizing Models

• https://www.reddit.com/r/datascience/comments/8ni5bx/taking_an_ml_algorithm_to_production/
• https://stackoverflow.com/questions/44806416/how-to-productionalize-a-python-machine-learning-lib
• https://hackernoon.com/a-guide-to-scaling-machine-learning-models-in-production-aa8831163846
• https://www.anaconda.com/productionizing-and-deploying-data-science-projects/
• https://towardsdatascience.com/productionizing-your-machine-learning-model-221468b0726d
• https://www.slideshare.net/IrinaKukuyevaPhD/productionalizing-machine-learning-models-the-good-the-bad-and-the-ugly
• https://www.analyticsvidhya.com/blog/2017/09/machine-learning-models-as-apis-using-flask/
• https://machinelearningmastery.com/deploy-machine-learning-model-to-production/
• https://www.quora.com/How-do-you-take-a-machine-learning-model-to-production
• https://onlinexperiences.com/scripts/Server.nxp?LASCmd=AI:1;F:US!100&PreviousLoginCount=0&ForceProfileToBeFilledOut=0&DisplayItem=NULL&ShowKey=67334&ShowFrameFormatOverride=NULL&RandomValue=1562717565156