Case Study

Selecting an Approved Supervised Learning Algorithm

Case context: An engineer is tasked with developing a system using only the supervised learning algorithms explicitly listed as examples on page 8 of Machine Learning Yearning. The engineer must choose from the designated options to ensure compliance with the project's literature references.

Question: Strictly using the provided source text, outline the set of algorithms the engineer is permitted to choose from, and justify why these are the only acceptable choices under the project constraints.

Sample answer: The engineer is permitted to choose from linear regression, logistic regression, and neural networks. According to page 8 of Machine Learning Yearning, these three are the only algorithms explicitly identified as examples of supervised learning. Selecting any other algorithm would violate the constraint of using only the examples listed in this source text.

Key points:

  • List linear regression, logistic regression, and neural networks as the permitted choices.
  • Explain that page 8 of the text only lists these three algorithms as examples of supervised learning.
  • State that other algorithms are excluded under the strict project constraints.

Rubric: The answer must list linear regression, logistic regression, and neural networks, and explain that they are the only choices because they are the sole supervised learning examples provided on page 8.

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Updated 2026-05-27

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