Cheat Sheets for Machine Learning Interview Topics

A couple of years ago I started applying for internships in the area of Machine Learning and ML system design. I had been studying and actively researching in the area of ML for a few years then. I was familiar with most of the basic topics. But when I started interviewing, I realized that though I had a general understanding of the topics, I required a quick go-through before I can answer it perfectly.

So I decided to refresh my concepts. I realized that before every interview, I was required to go through the topics again. So, I created my handwritten notes. Skimming through them was much easier than going through slides and book chapters. It provided me with a quick boost to my understanding in a short amount of time. I decided to convert my hand-written notes into compact cheat sheets that might come in handy for ML interviews and daily data-scientist life in general.

The rest of the article is based on those cheat sheets. For each topic, I provide

This article provides a list of cheat sheets covering important topics for a Machine learning interview followed by some example questions. The list of topics and the number of cheat sheets are constantly being added to the article.

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