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Workflow
Stick to RMarkdown for #rstats. Its works well with RStudio and the RMarkdown format works better with Git than Jupyter’s JSON notebook files.
ML 101
One of the process of getting answers from your data is using machine learning.
Let’s pretend that we’ve been asked to create a system that answers the question of whether a drink is wine or beer. This question answering system that we build is called a “model”, and this model is created via a process called “training”. The goal of training is to create an accurate model that answers our questions correctly most of the time. But in order to train a model, we need to collect data to train on. This is where we begin.
References
https://towardsdatascience.com/the-7-steps-of-machine-learning-2877d7e5548e
Model training is just a small part of a typical ML workflow.
Source: https://papers.nips.cc/paper/5656-hidden-technical-debt-in-machine-learning-systems.pdf