Question

question 1 of 10
a computer scientist trains a toy to respond to commands by giving it
examples of things a child might say. which term best describes this
scenario?

a. equity

b. algorithmic bias

c. neural networking

d. machine learning

Explanation:

• Option A: Equity refers to fairness, not related to training a toy with examples.
• Option B: Algorithmic bias is about unfairness in algorithms, not about training with examples.
• Option C: Neural networking is a part of machine learning, but the scenario is about training with examples to learn, which is machine learning.
• Option D: Machine learning involves training a model (here the toy) with examples to enable it to respond or perform tasks, which matches the scenario.

Answer:

D. Machine learning