Musings on what to do when machine learning training data is limited
Erlend Aune took some time to talk about machine learning techniques at an event at Bakken & Bæck's Oslo office last night. Specifically, he outlined what steps you can take when your data set appears to be too limited to achieve what you want to do.
PDF slides: Small data – Musings on what to do when training data is limited
Thanks to everybody who showed up, and to Bakken & Bæck for hosting the event!