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5. A prospect who has been evaluated as a strong fit based on need, budget, and timing is called a:

Which concept from this course do you feel most prepared to apply in a real job setting? Explain how you would use it.

6. Dynamic pricing in ticket sales is best described as:

7. Category exclusivity in a sponsorship deal typically carries a price premium of:

What sport industry career are you most interested in pursuing and why?

You are given a training dataset consisting of labeled 2D points (shown as colored points in the left image below). Each point belongs to one of two classes: red or blue. Three different classification models were trained on this dataset using different machine learning approaches. The images on the right show the decision boundaries produced by these models. In these visualizations, a dark red background represents regions classified as red, a dark blue background represents regions classified as blue, and lighter shades indicate areas where the model is less certain about its prediction. Two of these models illustrate the concepts of underfitting and overfitting. Identify which model corresponds to each problem. Then explain the difference between underfitting and overfitting, using evidence from the decision boundary visualizations to support your answer.

You were hired to create an AI system that uses a neural network to predict the age of a person. What kind of information can you use as input for your neural network? Which network architecture will you use? What is the output of the network and which loss function will you use to train it? 

The animation below illustrates the convergence of the K-Means algorithm after 10 iterations. What is the goal of K-Means? What is wrong the example below? How would you fix this problem?

You are given a training dataset consisting of labeled 2D points (shown as colored points in the left image below). Each point belongs to one of two classes: red or blue. Three different classification models were trained on this dataset using different machine learning approaches. The images on the right show the decision boundaries produced by these models. In these visualizations, a dark red background represents regions classified as red, a dark blue background represents regions classified as blue, and lighter shades indicate areas where the model is less certain about its prediction. Indicate one machine learning approach covered in this course that could have been used to create each of these models using the data points from the left image as training data. Justify your answer. 

Name the 4 valves in the heart.