Tag - How Modeling

Choosing an Error Function

The error function expresses how much we care about a deviation of a certain size. The choice of error function depends entirely on how our model will be used. By Brandon Rohrer, iRobot. comments For all the content, including video and code, visit t...

Choosing Between Model Candidates

Models are useful because they allow us to generalize from one situation to another. When we use a model, we’re working under the assumption that there is some underlying pattern we want to measure, but it has some error on top of it. By Brandon Rohr...

Separating signal from noise

When we are building a model, we are making the assumption that our comments For all the content, including video and code, visit the course page for How Modeling Works. Separating signal from noise   A model is a story we tell about our data. It is...