Deep Learning - Deep Neural Network for Beginners Using Python - Problem to Solve Part 2

The video tutorial discusses decision-making in hiring based on data points. It highlights the importance of having sufficient data to make accurate decisions and examines past hiring decisions using academic and test scores. The tutorial also addresses how to handle ambiguous cases where data points lie on decision boundaries, emphasizing the need for more data to resolve such uncertainties.

What is the significance of having more data when making hiring decisions?

How do the green points relate to past hiring decisions?

What can be inferred about candidates with similar test scores but different academic marks?

Explain the implications of hiring decisions based on the positions of yellow points.

What challenges arise when evaluating candidates that are near the decision boundary?