AutoML can automate data preparation, feature extraction, model selection, and model tuning. This can save a Data Scientist loads of time. So instead of hiring four Data Scientists, you may only need two, right?
It’s no secret the shortage of data science talent to help companies produce advanced analytics from their stockpiles of data. There is also a plethora of vendor tools available making promises of turning an analyst into the next great data scientist (which BTW, is possible).
From the depths of the hardcore mathematicians, statisticians and computer scientists (who created this stuff in the first place), have created more advanced tools automate the model creation process to help Data Scientists become more efficient, and (hopefully) better at our jobs.
I will demo AutoML, discuss some pros/cons, and what it can do for you.
A fast-moving Data Scientist with broad experience in multiple industries, leveraging various tools and cloud computing platforms. The key to Josh’s success is the ability to recognize opportunities in data and the skills to capitalize from start to finish. Along the way, picked up of Master's of Data Science and M.B.A. from University of St. Thomas.