How to Ace Home Assignments for Machine Learning Job Interviews

How to Ace Home Assignments for Machine Learning Job Interviews

In this article, I aim to provide a clear picture of what is expected from a job applicant when asked to do a machine learning (ML) home-based coding assignment as part of the interview process.

While working as a senior ML engineer, I had to review dozens of such assignments, so I believe I have a good idea of what types of mistakes applicants usually make. I would like to help you avoid these mistakes when you are applying for your next job.

Essentially, you need to strive to accomplish the following 4 objectives:

  1. Create an ML model that works and is reasonable for the task
  2. Clearly present and analyze your results
  3. Show your intelligence and attention to detail
  4. Write clean, easy-to-understand, reproducible, mostly error-free code

For whatever reason, a lot of entry-level applicants seem to only really concentrate on the first one of these goals. Let us go over each of them in more detail and see what they involve.

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