Name two applications where the source says machines already surpass human-level performance.
Question: According to the source, name two example applications where machines already surpass human-level performance.
Sample answer: Two examples are predicting movie ratings and predicting how long it takes for a delivery car to drive somewhere.
Key points:
- Predicting movie ratings
- Predicting delivery car travel time
- Approving loan applications
Rubric: Full credit for naming two of the three examples given in the source: predicting movie ratings, predicting delivery car travel time, or approving loan applications.
0
1
Tags
Machine Learning
Deep Learning
Supervised Learning
Dive into Deep Learning @ D2L
Data Science
Machine Learning Strategy
Machine Learning Yearning @ DeepLearning.AI
Related
Why does progress usually slow down after an algorithm surpasses human-level performance?
True or False: Progress is typically faster while machines are still catching up to human-level performance.
Once humans have a hard time identifying examples the algorithm is clearly getting wrong, only a _____ of human-comparison techniques still apply.
Match each performance situation to its typical progress rate.
Order the reasoning that explains why progress slows after surpassing human-level performance.
Analyze why surpassing human-level performance changes the pace of ML progress.
Diagnose why a loan-approval algorithm's improvement has stalled.
Name two applications where the source says machines already surpass human-level performance.
Which condition allows more human-comparison techniques to remain applicable during ML development?
True or False: All human-comparison techniques remain equally useful after an algorithm surpasses human-level performance.