DevOps Pipeline for a Machine Learning Project – Stats and Bots

There is no shortage in tutorials and beginner training for data science. Most of them focus on "report" data science. A one-time activity is needed to dig into a data set, clean it, process it, optimize hyperparameters, call .fit() On the other hand, SaaS or mobile apps are never finished, always changing and upgrading complex sets of algorithms, data, and configuration. Machine learning often expands functionality of existing applications -- recommendations on a web shop, utterances classification in a chat bot, etc.