A data scientist is building a proof of concept for a commercialized machine-learning model. Which of the following is the best starting point?

The correct answer is A. Literature review. Before diving into selecting or tuning models, a literature review grounds the proof of concept in existing research and best practices, ensuring the approach aligns with state-of-the-art methods and the problem's domain requirements.

Operations and Processes

Question

Options

ALiterature review
BModel performance evaluation
CHyperparameter tuning
DModel selection

How the community answered

(35 responses)

A
83% (29)
B
3% (1)
C
9% (3)
D
6% (2)

Explanation

Before diving into selecting or tuning models, a literature review grounds the proof of concept in existing research and best practices, ensuring the approach aligns with state-of-the-art methods and the problem's domain requirements.

Topics

#literature review#proof of concept#model development#project planning

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