Machine Learning System Design Interview - Valerii Babushkin

0:00: Introduction
1:49: Guest introduction and background
9:07: Overview of machine learning system design
13:25: System design vs. machine learning system design
20:32: Example of machine learning system design
26:35: Interview experience and feedback
31:01: Preparation for machine learning system design interviews
36:35: Mock interview and project checklist
47:41: Additional considerations for real systems
47:55: Typical components of a machine learning system
51:04: Integrating machine learning algorithms with systems
55:06: System design expectations for new grads
57:29: Validating model performance in production
59:02: Transitioning from data science to system design
1:00:02: Closing remarks and how to connect with Valerii

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At DataTalksClub, we organize live podcasts that feature a diverse range of guests from the data field. Each podcast is a free-form conversation guided by a prepared set of questions, designed to learn about the guests’ career trajectories, life experiences, and practical advice. These insightful discussions draw on the expertise of data practitioners from various backgrounds.

We stream the podcasts on YouTube, where each session is also recorded and published on our channel, complete with timestamps, a transcript, and important links.

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[chrisogonas]

Excellent discussion, folks! Thanks for sharing those perspectives.

[ErwinDSouza]

Just wanted to say @Alexey that you're a good interviewer, you asked some great questions! I will check out more of your videos

[divyamshah]

Can someone share the link to the 16 point document on ML system design talked about in the video?

[KamaAmmo]

Valery Babushkij is a really cool guy!

[Gerald-izmv]

hi how to prepare for system design platform/infra interview?

[beladianeeral]

@16:53 - I think you mean starting with logistic regression?

[zubrz]

i had exactly the same experience with ML system design at facebook in London in 2016

[elmirach]

I wish you were putting that on board or went through one ML System DEsign case, rather than just talk. The whole title is ML system design, but there is no single case walked through.

[johnsontian]

Just to add that precision is a metric that’s not sensitive to class imbalance.

[hihi-wcdx]

He meant to say logistic regression didn’t he

[_ia_wotblitz]

@38:00 where can we find the interview?

[CantPickTheNameIwant]

So funny to watch when two guys have a conversation and try to mimic language accents: one american english and second one british, knowing the fact that both are actually russians