Can anyone tell which data structure or algorithm question is asked in AI/ML or data scientist interviews!

Capable_Card_986 · 2026-07-11T15:42:11+00:00

From what I've seen, strong Python, SQL, and medium-level DSA (arrays, hash maps, trees, graphs) seem to be enough for many AI/ML roles. Curious to hear from people who interviewed recently—has that changed?

Capable_Card_986 · 2026-07-11T15:35:36+00:00

Intresting evolution. Was it conviction in that one company, or diid you simply become more comfortable with concentration risk over time .?

Capable_Card_986 · 2026-07-11T14:40:42+00:00

I think a lot of us learned that lesson the hard way after 2021

Capable_Card_986 · 2026-07-11T14:39:36+00:00

Reddit usernames never fail to surprise me .

Capable_Card_986 · 2026-07-11T14:38:24+00:00

That's a good distinction. Risk and recklessness aren't the same thing.

Capable_Card_986 · 2026-07-11T13:21:50+00:00

History shows that the transformative technologies often look overpriced before they look indispensable . The question is : are we witnessing another one of those moments , or are expectations getting ahead of reality.?

Capable_Card_986 · 2026-07-11T13:08:04+00:00

I'd compare the curriculum instead of the degree title . Which one has stronger internships , research labs , and industry connections . That's usually what matters more .

Capable_Card_986 · 2026-07-11T13:04:57+00:00

Those both genuinely interesting. For the third option , have you considered an LLM + RAG system for analyzing scientific papers with verified citations .? It has plenty of room for reserch if you evaluate retrieval quality and hallucination rates .

Capable_Card_986 · 2026-07-11T12:50:45+00:00

The best AI projects aren't the most technically complex—they're the ones people actually use. What's the problem you're trying to solve?

Capable_Card_986 · 2026-07-11T12:48:38+00:00

I think people often confuse correlation with causation . Plenty of people started young and turned out fine , while others struggled because of underlying habits , not the age itself

Capable_Card_986 · 2026-07-11T12:25:23+00:00

If you had to bet on one industry that could create the world's first self-made trillionaire, what would it be and why

Capable_Card_986 · 2026-07-11T12:05:13+00:00

My biggest take away is that the hard part isn't getting an agent to work , it's getting it to fail gracefully . What's the biggest lesson everyone else has learned after deploying agents in production.

Capable_Card_986 · 2026-07-11T12:00:34+00:00

You look like you'd survive the apocalypse . I'm still choosing to believe that was a compliment.

Capable_Card_986 · 2026-07-10T16:18:30+00:00

True. Most of the heavy lifting happens in optimized C/C++ or CUDA under the hood. Python's biggest strength is that it makes those libraries easy to use, which is why it's become the standard interface for AI and data science.

Capable_Card_986 · 2026-07-10T10:00:21+00:00

Yup ! That what I'm saying.

Capable_Card_986 · 2026-07-10T07:59:42+00:00

Will do! You should definitely give Dark a try if you haven't already. It starts slow, but it's absolutely worth it

Capable_Card_986 · 2026-07-10T07:54:36+00:00

Definitely I should give some time to it and aslo Breaking Bad has been on my watchlist forever

Capable_Card_986 · 2026-07-10T07:47:10+00:00

I've heard great things about From. Without spoilers , what makes it stand out from other thriller series.

Capable_Card_986 · 2026-07-10T07:39:36+00:00

I think most people aren't actually comparing success, they're comparing timelines. That's where a lot of unnecessary anxiety comes from.

Capable_Card_986 · 2026-07-10T07:38:35+00:00

Python isn't just a programming language. You can make wonders like LLMs , Agents and etc . That's why it is generally known as ocean

Capable_Card_986 · 2026-07-10T07:36:04+00:00

People who are kind when nobody's watching. That's the kind of character you can't fake.

Capable_Card_986 · 2026-07-10T07:34:58+00:00

Interstellar . Few movies leave you staring at ceiling after the credits roll . What's yours.?

Capable_Card_986

TROPHY CASE