Recent content by owen_thinks

When working with Python, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is evaluation. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...

A useful way to understand Deep Learning is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is privacy considerations. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...