You will complete three (3) reviews of articles related to machine learning. Each review is worth 5 points.
These assignments are designed to help you:
- Explore real-world applications and discussions of machine learning.
- Practice critical reading and reflection.
- Connect technical concepts to societal and personal contexts.
Each review should demonstrate that you have read and understood the article, and thoughtfully reflected on its content. Most importantly, I should be able to get to know you personally through your writing of the review.
Finding Articles
You are encouraged to find articles from reputable sources. Some suggestions include:
- The New York Times (free access through our library)
- The Pudding has data-driven storytelling examples
- YouTube channels like 3Blue1Brown or Veritasium
- Other sources such as academic blogs, news outlets, Medium posts, or scientific publications
Tip: Pick articles that genuinely interest you. You will write better reflections if the topic captures your attention.
Article Review Instructions
For each article, provide clear and complete answers to the following questions.
Write in your own words. I do not want to read summarized slop from LLMs (these will receive 0 points).
Article Information: title of the article, author(s), publication month and year, link to the article
In your own words, summarize what the article covers. Focus on the key points and main ideas.
Identify any surprising facts, unique approaches, or compelling examples mentioned in the article.
Discuss how the ideas or technologies presented could affect society. Consider both positive and negative implications.
Reflect on how the article’s ideas might influence your own life, studies, or career.
What would you ask the author to clarify, expand upon, or explain further?
What question could you pose to readers or viewers to spark discussion?
Reflect on the article as a whole. What did you like or dislike? What did you agree or disagree with? Did it change your perspective on machine learning in any way? Would you recommend this article?
Submission Guidelines
- Submit each review as pdf to Moodle
- Each review should be about a page or so in length.
- It’s okay if your grammar is less than perfect.
All three are due before the final exam day, though it is encouraged to complete them early.
Grading Criteria
- Completeness (2 pts)
- Personal (1 pt)
- Insightful impact (1pt)
- Clarity + organization (1pt)
- Total: 5 pt
Tips for Success
- Reflect on how the article connects to your understanding of machine learning.
- Think critically about the societal and personal implications.
- Use your own words to demonstrate understanding.
- Choose a mix of technical and non-technical articles for variety.
