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[GH-ISSUE #637] Chapter 6 (6.1 to 6.5) issues - suggestions #10549

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opened 2026-05-12 18:34:28 -05:00 by GiteaMirror · 2 comments
GiteaMirror commented 2026-05-12 18:34:28 -05:00
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Originally created by @Mjrovai on GitHub (Jan 21, 2025).
Original GitHub issue: https://github.com/harvard-edge/cs249r_book/issues/637

Originally assigned to: @18jeffreyma on GitHub.

  1. Purpose -Typo: undersatnd ==> understand
  2. Exercise 6.1 is outdated. It should be replaced or updated.
  3. I suggest changing the color of the box:

Image

  1. Section 6.4.4: Data Anonymization techniques are only mentioned in conjunction with synthetic data, but it is also used with real data. For real data, anonymization is crucial for protecting privacy and sensitive information. Common techniques include:
  • Masking (replacing sensitive values with asterisks or dummy characters)
  • Generalization (reducing the precision of data like ages into ranges)
  • Pseudonymization (replacing identifiers with artificial ones)
  • k-anonymity (ensuring each record shares characteristics with at least k-1 other records)
  • Differential privacy (adding statistical noise while preserving overall patterns)
  1. Exercise 6.3 is outdated. It should be replaced or updated.
Originally created by @Mjrovai on GitHub (Jan 21, 2025). Original GitHub issue: https://github.com/harvard-edge/cs249r_book/issues/637 Originally assigned to: @18jeffreyma on GitHub. 1. Purpose -Typo: _undersatnd_ ==> understand 2. Exercise 6.1 is outdated. It should be replaced or updated. 3. I suggest changing the color of the box: ![Image](https://github.com/user-attachments/assets/8bce2cb2-6b82-4fbf-8fd4-908fbc3003d5) 4. Section 6.4.4: Data Anonymization techniques are only mentioned in conjunction with synthetic data, but it is also used with real data. For real data, anonymization is crucial for protecting privacy and sensitive information. Common techniques include: - Masking (replacing sensitive values with asterisks or dummy characters) - Generalization (reducing the precision of data like ages into ranges) - Pseudonymization (replacing identifiers with artificial ones) - k-anonymity (ensuring each record shares characteristics with at least k-1 other records) - Differential privacy (adding statistical noise while preserving overall patterns) 5. Exercise 6.3 is outdated. It should be replaced or updated.
GiteaMirror added the area: booktype: improvement labels 2026-05-12 18:34:28 -05:00
GiteaMirror commented 2026-05-12 18:34:30 -05:00
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@profvjreddi commented on GitHub (Jan 21, 2025):

Thank you @Mjrovai for reviewing this version!

<!-- gh-comment-id:2605924231 --> @profvjreddi commented on GitHub (Jan 21, 2025): Thank you @Mjrovai for reviewing this version!
GiteaMirror commented 2026-05-12 18:34:31 -05:00
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@profvjreddi commented on GitHub (Jan 21, 2025):

@18jeffreyma could you help make a pass on this based on the feedback?

I created a branch, as you can see on the right 637-chapter-6-61-to-65-issues---suggestions, so if you can use that that would be great.

<!-- gh-comment-id:2605926297 --> @profvjreddi commented on GitHub (Jan 21, 2025): @18jeffreyma could you help make a pass on this based on the feedback? I created a branch, as you can see on the right `637-chapter-6-61-to-65-issues---suggestions`, so if you can use that that would be great.
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