Amazon Machine Learning Engineer Interview: K-Means Clustering

Watch our mock Amazon Data Science interview. Angie asks Jimmy (Amazon ML Engineer) a question about k-means clustering.

Chapters -
00:00:00 - Introduction
00:01:26 - Question
00:01:36 - Answer
00:02:05 - Follow-up questions
00:28:37 - Interview analysis

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[ax]

The interview looks authentic. Thank you!

[sbhaktha]

I see a max_error parameter in the kmeans function definition set to a default value of 0.01 which the candidate doesn’t use or talk about. What is that parameter?

[CreatingUtopia]

points[points_i], passing list to a list or what, I mn sure it works here, and I am missing something but I don't know what please help

[devanshverma]

Nice mock!
However, at one point in video the interviewee said that we can use any distance in distance_function but what if I choose Cosine-distance? How would you calculate centroids?
Choosing Cosine-distance would change this to a spherical clustering problem and the algorithm would change. So it's better to be sure that we know what we say in an interview .

[pingdingdongpong]

I see very little point to coding k-means.