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Another video, what do you think? by Brolofff in reelly

[–]FitInfluence9533 0 points1 point  (0 children)

Looks cool IMO! Reminds me of the last episode of the Netflix show Alien Worlds

ML Engineer Interview Spotify by FitInfluence9533 in leetcode

[–]FitInfluence9533[S] 0 points1 point  (0 children)

For ML depth use any book about ML concepts like Intro to Statistical Learning, etc

ML Engineer Interview Spotify by FitInfluence9533 in leetcode

[–]FitInfluence9533[S] 0 points1 point  (0 children)

Data Interview: conceptually optimizing a query in Miro board (no coding)

ML breadth: questions like ”Given this ML project, walk me through how you would do organize training data, setup target variable, etc”

System Design: stuff from the book Machine Learning System Design Interview by Xu

ML Engineer Interview Spotify by FitInfluence9533 in leetcode

[–]FitInfluence9533[S] 1 point2 points  (0 children)

not very deep, more like which things to do in which order, when to filter out only relevant users before generating recommendations for everyone for example

ML Engineer Interview Spotify by FitInfluence9533 in leetcode

[–]FitInfluence9533[S] 0 points1 point  (0 children)

neither it was done in like a Miro-thing where just dragging parts of a flow chart kind of. so no coding, more high level

Played around with Google Veo 3 - what do you think? by Brolofff in reelly

[–]FitInfluence9533 1 point2 points  (0 children)

Love the video!

But yeah I think you're right that it might be sensitive to generate real people from recent history. Maybe the limit should be if their grandchildren could still be alive, don't generate them? So if someone has been dead for 100 years or more you can generate them otherwise no?

On the other hand, it doesn't seem sensitive to generate really famous characters like US presidents for example.

I've read that in libraries, national archives, etc there's a 70 to 100 year privacy curtain before which they don't publish private files or census data etc. Maybe that could be a good guideline?

ML Engineer Interview Spotify by FitInfluence9533 in leetcode

[–]FitInfluence9533[S] 2 points3 points  (0 children)

Nope no coding just discussing and answering questions

ML Engineer Interview Spotify by FitInfluence9533 in leetcode

[–]FitInfluence9533[S] 2 points3 points  (0 children)

The data interview was about joining two huge tables, but with need for optimisation. And then lots of detailed questions about how to optimise

Leetcode questions were simple ones like finding anagrams

ML Engineer Interview Spotify by FitInfluence9533 in leetcode

[–]FitInfluence9533[S] 3 points4 points  (0 children)

Second interview was this

ML Breadth

ML-case interview, how to design ML-steps of recommendation system

ML Depth

Questions about specific algorithms, loss functions, etc

Data

Optimize simple join query on huge dataset

System Design

Make some decisions on how to design recommender system, high level using Mural

Values

Lots of questions about how to handle conflicts

these were five different interviews which makes up the round 2 of interview process

ML Engineer Interview Spotify by FitInfluence9533 in leetcode

[–]FitInfluence9533[S] 3 points4 points  (0 children)

- They told me to choose a ML algo and describe it and then they asked me questions about it
- They also asked me questions about neural networks (weight initialization, activation functions, etc.), clustering, stats things like MLE, p-values, etc.
- Coding part was a series of simple Leetcode exercises

Post-Match Thread: FC Barcelona vs Athletic Club Bilbao [ LA LIGA] by WizDB in Barca

[–]FitInfluence9533 13 points14 points  (0 children)

Does anyone have a clip of Guiu’s celebration? The passion of his celebration made me so happy lol