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Imagine you are in a machine learning interview and want to share your experience building deep learning projects. Don’t try to impress your interviewer by telling them how you applied a Transformer-* and got 99% accuracy. Instead, discuss the following:
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1/8
[Thread]
1/8
Motivate the problem and why you want to address it? Include an impact statement (Showcase due diligence)
2/8
2/8
What is the research/business objective (Showcase rigor and focus)
3/8
3/8
What has been done, ideas you are adapting, and your action plan (Showcase project management skill)
4/8
4/8
How did you collect/clean/prepare the data? Share details about your basic model/baseline? Share challenges? Experience with experiments? Metrics used? (Showcase hands-on experience and versatility)
5/8
5/8
Explains the challenges with inference/data/scaling/applicability/trade-offs/costs of model building/training and how you addressed them. (Showcase problem solving)
6/8
6/8
Share your experience working with the team. Don't focus too much on what they did, but what **you** contributed to the effort. (Showcase your expertise)
7/8
7/8
What did you learn from the experience and how do you plan to improve the process/model? What are the next steps? (Showcase desire to keep adapting and learning)
8/8
8/8
