So let’s explore our super simple model to see why it’s so hard to make a good model for something this uncertain. THE FATALITY RATE S ome people die from COVID-19.

1. Prepare the Data. The first step in training an AI model is preparing your data by collecting, cleaning, and preprocessing the information you will use to train the model.

The goal is to manipulate the model's learning process, leading to incorrect or biased predictions during the model's operation. And one can do this in several ways. The first is to inject false data.

The model sometimes got it wrong, but it spotted this and didn't give up. Instead, it swiftly moved on to try another possible solution, then another. " Almost got close there with 33 / 7 * 5 ≈ ...

"If you're just starting down that road while the entire healthcare industry is in the process of financial recovery, building that model can be a daunting cost," Ms. Matejka said.