[digitalzombie]

> why don’t we split the data sets to train and update the coefficients and automate the process.

What you just stated is just a pipeline. You can just split the data and train it and automate with tree ensemble that aren't boosting that is if you're talking about doing in parallel.

If you're just saying split and do as batch process in different time interval you can do that with nonparametric bayesian.

CS contribution in creating Deep learning and having it be the best accurate algo for certain data domain is pretty nice. But again Stat care a lot more than prediction.