Machine learning, it still sounds complex: where to start?

There is much talk on Machine Learning these data… it all sounds very interesting and complex… but where do we actually start.
Kenneth Doherty from Cerebreon had a very pragmatic approach in our discussion on starting simply… remember the machine will always give you an answer, even if it is the wrong one… so it is really worth understanding your design and what you are seeing in the output!

Find out more, interviews and video clips-> Here.

RO-AR insider newsletter

Receive notifications of new RO-AR content notifications: Also subscribe here - unsubscribe anytime

See also  How should we think about forecasting outcomes?