5. Model Testing

Have the part evaluate these new choices.

Are they acceptable?

Will they be as good as or better than the previous behavior?

It needs to be willing to try them out for the next month or longer if appropriate. The key here is negoti...

Think of your talk as a series of self-contained mini-talks, then if one part goes wrong, gets forgotten, or simply doesn’t feel like it’s working on the day, just jump to the next part – you can always go back to it later.

When dealing with large datasets with many columns and variables, feature extracting is used to divide and reduce existing data into a manageable group.

But for image processing, machines can't extract features such as edges, shapes, or even size in this way