Deep Learning - Deep Neural Network for Beginners Using Python - Problem to Solve Part 1

The video tutorial discusses using deep neural networks for problem-solving, specifically in hiring decisions. It explains how to evaluate potential employees based on their academic qualifications and test scores, normalized on a scale of 10. The tutorial compares two candidates, highlighting the importance of higher scores in both academics and tests for hiring decisions. It concludes with a thought-provoking scenario involving a candidate with average scores, encouraging viewers to consider their decision-making criteria.

Discuss the implications of hiring a candidate with lower scores in both academics and tests.

What should be considered when evaluating a candidate with equal scores in both test and academics?