[high_derivative]

This is not a good idea and definitely not worth the money.

If you want to pass a quiz-style interview (I interview for a FAANG ML research lab), you are much likely better served writing down the concepts yourself in a concise way. If you never wrote them down somewhere, you are not forced to actually digest the content. Cards you didn't write yourself will fool yourself into believing you understand something if you can repeat the words.

[admiral33]

Agree and disagree. Memorizing these will do very little. On the other hand having an aggregate list of topics that you should know that you use to point you in the direction of further learning could be useful. Like a table of contents for a book you have to put together yourself. Not useful on it's own, but is a good indicator of where you should be going.

[minimaxir]

It's worth noting that machine learning / data science interview questions have much higher variance in the types/complexity of questions than traditional CTCI-esque interviews. None of the popular interview resources have had questions close to what I've encountered in real life over the years, although the flashcards here do a better job on the ML side (but are not helpful for the Leetcode-esque questions that will get asked).