Recent content by brain_ella

A useful way to understand Datasets is to separate the goal, the input, the model or tool, and the way the output is evaluated. 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 tell what...

For Machine Learning, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is integration. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome...