Daily Quiz (02.01.2021)

Common issues with training data are _____

• Unbalanced or biased data

• Data with more features

• Mislabeled data

• Insufficient data

• Data doesn't reflect the real world

What are the three steps of building AI products?

• Identify the business problem and ideate a solution

• Make viable business strategy

• Prototype, test and refine

• Release, measure and update

As a product manager, problems can come from ____

• Pressure from investor

• Upset users or customers

• Lost revenue

• Grumpy Engineers

• Struggling sales and customer teams

When we talk about impact, we often want to think about the primary users

• True

• False

Is this the real prototype cycle?

• Yes

• No

Often, when you are building a product, you'll want to measure how effective your product is at its overall goal. In this video annotation case, the goal was to make it easier/automatic for users to annotate video frames, and this efficacy was measured in a specific way.

How could efficacy be measured for this video annotation product?

• The time spent on Figure Eight's platform

• The number of human-generated annotations vs. machine-generated

• User engagement and rating of the video annotation tool

Efficacy is indicated by how many times a human had to annotate a video frame (hopefully very few times) vs. how many times the frame was automatically annotated.

• False

• True

Which method we should use in case of annotating very very small object in video annotating task?

• Computer vision

• Image detection algorithm

• Linear interpolation

• Convolutional neural network

Bias issues are less in face recognition system.

• False

• True

Unbalanced selection of sorts data generate _____

• Selection bias

• Data bias

• Model bias

• Annotation bias