Relating to Machine Learning

GOTO Chicago 2018

Machine Learning is still a black box in the eyes of many and it can be very hard to identify its potential pitfalls. But before falling down into a pit, how do you even get started? An approach could be to use one of the many Machine Learning as a Service (MLaaS) solutions, but are they any good? Wouldn’t it be better to create your own custom models from scratch to start with?

This talk will address these questions and give an overview of the most common pain points when working with Machine Learning. It will wrap up with a good strategy for approaching your projects using MLaaS and open sources tools.

People with either a technical or business background will be able to relate and benefit from this session.