Do you have an advanced degree in mathematics or data science from a prestigious university? Me neither! That doesn't have to put machine learning beyond our reach, though. While the underlying theory can be extremely complicated, the practical applications are very approachable for us as developers. If you've been looking for an easy way to start dabbling in ML, this session is for you! Join me as I give an overview of ML and walk through the different types of algorithms available with some practical examples. We'll also see how we can take advantage of some of the various AWS machine learning products in order to quickly add these capabilities to our applications.


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Joshua Sampia at 10:00 on 9 Feb 2020

I actually thought ML was something of a mystery. I thought it was only used to train computers to play chess or make a car go around a track. From the beginning I could tell that this was something I could actually apply to my industry. So I appreciate that. I'm having a hard time figuring out where the talk went long. I would say focus a little less on the theory to leave a little more room at the end to give people the tools necessary to get started and where to look.

Miril Terolli at 19:34 on 9 Feb 2020

A complex subject, explained in a great way.
The Machine Learning on AWS was a great tip, thank you for this talk!