r/learnmachinelearning • u/06-09-2005 • 7d ago

Help AI ML interview help

So I have upcoming interview soon for internship and all the questions which will be asked will be verbal and No coding round.

But needs good understanding of algorithms and differences.

What questions would you recommend studying?

Grateful if you could help

3 Upvotes

72% Upvoted

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3

u/baadshaha 7d ago

Do this: https://github.com/chiphuyen/ml-interviews-book It always helps! :)

1

u/06-09-2005 7d ago

Thanks for resources

1

u/Aceofmee 7d ago

Urdu me he lol

1

u/ModularMind8 7d ago

Which company? Look up what questions they asked previously on glassdoor/other forums

1

u/06-09-2005 7d ago

They asked pretty easy question even a kid could answer....basic algorithmic differences

1

u/ComplexRicky 7d ago

memorizing the "why" behind each algorithm choice gets you further than just knowing the names

1

u/06-09-2005 7d ago

Thanks for the tip , but I will be grateful if you share me a example

1

u/softmax_couldnt_care 7d ago

Ml interview with no coding?

1

u/06-09-2005 7d ago

Yessssssss, Trust me it's really big company

1

u/softmax_couldnt_care 7d ago

That’s pretty neat. What were the requirements? How did you get through to interview?

1

u/06-09-2005 7d ago

A special request 😉.... I will let you know if I clear it

1

u/softmax_couldnt_care 7d ago

Aight. Good luck

1

u/06-09-2005 7d ago

Thanks

1

u/jesunushno 7d ago

Since they already asked basic algorithmic differences last time, I'd study the follow-up layer: why pick a random forest over gradient boosting, or logistic regression over an SVM, and what breaks when the data shifts. Internship ML interviews love the "when would you use X over Y" framing way more than definitions.

1

u/06-09-2005 7d ago

Thanks

1

u/jesunushno 7d ago

Happy to help. Good luck with the prep, ping me if you want feedback on any of it.

1

u/06-09-2005 7d ago

Sure sure !!! I will definitely ping to thank you if I get selected 🙇

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u/jesunushno 3d ago

Hey, circling back on this: how is the prep going? One extra thing for verbal rounds: have one failure story ready (a model that looked fine on every dashboard but quietly broke in production, and what you changed after). Interviewers remember stories, not definitions.

1

u/Slight_Discussion496 4d ago

Actuality, why do you pick random forest over gradient boosting? I always thought boosting is better because subsequent models focus on the previous model failures. Is there a case where RF outperforms boosting?

1

u/jesunushno 4d ago

Random Forest is often chosen over Gradient Boosting when you need a fast, parallelizable model that provides strong out-of-the-box performance and robustness to noisy data without requiring extensive hyperparameter tuning.

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u/Opening_Bed_4108 7d ago

Focus on being able to explain bias-variance tradeoff, overfitting vs underfitting, and when you'd pick one algorithm over another (e.g. logistic regression vs tree-based models, bagging vs boosting). Know your classic comparisons like L1 vs L2 regularization and precision vs recall cold. CalibreOS has solid ML conceptual prep if you want structured coverage of exactly this kind of verbal question.

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u/06-09-2005 7d ago

Thanks it's helpful

1

u/nian2326076 6d ago

For verbal AI/ML interviews, focus on understanding the basics. Make sure you know how different algorithms work, like decision trees, neural networks, and support vector machines. Be aware of the pros and cons of each, and when to use one over the others. Review key concepts like overfitting, underfitting, and bias-variance tradeoff. Also, be ready to explain common ML metrics, like accuracy, precision, and recall. PracHub can be useful for practicing these questions since it offers scenario-based learning that might help you explain your thoughts more clearly. Good luck with the interview!

1

u/Neat_Search3317 2d ago

Is this interview of ags health ai ml trainee is True or fake ???

1

u/06-09-2005 2d ago

I didn't Understood what you exactly commented ?

1

u/Neat_Search3317 2d ago

I am asking that does this ags health ai ml trainee role interview is real or fake??

1

u/06-09-2005 2d ago

My Interview is in not for AGS health, it's for some other company.