To: Tanya Mozafari
From: Emilyn Sim
Peer Review
Term: Machine Learning
First Impressions:
This writing has an informative and academic tone that focuses on providing clear definitions of a technical term. The writer effectively breaks down the term “Machine Learning” into three different definitions, including a parenthetical definition, a sentence definition, and an expanded definition that includes historical context, technical details, and practical applications. The use of expansion strategies and citations from outside sources in the expanded definition adds credibility and depth. There might be a target audience to consider with less knowledge than computer science students. Overall, the writing is both professional and accessible.
3 Questions:
Are there opportunities in the writing for real-world examples or examples that would be relevant to the target audience?
Are there some instances of technical terminology that could be replaced with more accessible language?
Is there a context where Machine Learning needs to be explained to people with no knowledge of computer science at all?
Organization:
The organization of the text is well-structured and easy to follow.
- All three definitions are clearly separated.
- The expanded definition is clearly divided into the required sections.
- The choice and placement of visual content supports the information well.
- The writing ends abruptly, consider adding a conclusion.
Expression:
The writer expresses the content clearly and concisely.
- The different definitions support each other and the understanding of the reader well.
- The different sections of the expanded definition are skillfully chosen. They elaborate on each other and interact well.
- Most of the language is accessible but there were two terms that may be inaccessible:
- artificial neural networks
- manual feature extraction
Content:
According to assignment requirements, all the necessary content is included:
- A detailed introduction
- Three forms of definition
- Four types of expansion
- A visual
- A works cited list
Visuals:
The choice of visual is excellent. It captures a complex term in a format that allows any reader to further their understanding of the term.
Audience:
The writing overall in this document is excellent and clearly demonstrates skill. The document itself is accessible to audiences who do not have technical knowledge, as the communication is highly effective. A reading situation with a less knowledgeable audience could be considered as the writing already supports and allows for this.
Concluding Comments
In conclusion, the document skillfully accomplishes the goal of the assignment. The writing supports the reader in understanding machine learning in the identified reading situation. Suggestions to further strengthen the writing are:
- Consider adding real world examples or examples relevant to the target audience in the writing.
- Replace instances of technical terminology with more accessible language.
- Explain Machine Learning in a context for people with no knowledge of computer science.
- Consider adding a conclusion to the writing.
- Two terms may be inaccessible: artificial neural networks and manual feature extraction.
The writing and choice of visual is impressive. Thank you for producing an attentive and interesting piece of writing. Feel free to reach out with any questions or thoughts.
Definition under review: https://blogs.ubc.ca/engl30199c2022w2/2023/02/08/three-definitions-of-machine-learning/
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