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Thursday, May 30 • 11:30am - 12:15pm
Bridging the Skills Gap Between Data Enthusiast and Data Scientist with AutoML

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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.

avatar for Josh Janzen, MS, MBA

Josh Janzen, MS, MBA

Data Science Manager, CH Robinson
The deck will be posted afterwards on my Data Science blog: www.joshjanzen.com

Thursday May 30, 2019 11:30am - 12:15pm CDT
(A) Auditorium Normandale Partnership Center, 9700 France Ave So, Bloomington, MN 55431