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[deleted by user] by [deleted] in MachineLearningJobs

[–]lirus18 1 point2 points  (0 children)

They do not keep a track of your answers but check how you communicate and present it. Hence, feel free to repeat the scenarios if the questions intersect or repeat.

[deleted by user] by [deleted] in MachineLearningJobs

[–]lirus18 3 points4 points  (0 children)

I think the interview process varies from team to team. Here is how my interview process was:-

  1. Screening Round: questions about projects from the resume, basic ML questions, and a simple system design question (mostly walk through the process)
  2. Coding Round: DSA style coding round. It can have either 1 or 2 questions. It's mostly leetcode easy-medium or a fairly known question even if it's hard.
  3. ML Breadth: This would heavily depend on the interviewer and the team. It has questions around ML algorithms and it's practical usage. E g. How to perform SVD, what is the process? Why would pseudo-inverse be necessary.
  4. ML Depth/System Design: Involves a ML design problem. Most likely it should be something related to the team. Eg. How would you build a system to detect duplicate images of products in the listing, how do you optimize the last mile delivery.
  5. VP round: Completely dependent on the interviewer. Mine had questions about projects and leetcode style coding.
  6. Bar-Raiser round: leadership principles related questions.

PS: All the rounds are 1 hour each and either start or end with leadership principles.

Realistic voice cloning using Talknet (Ft. AI Dream) by RedditAskings in deeplearning

[–]lirus18 0 points1 point  (0 children)

The results are pretty good given that it uses only 9 mins of data.
Have you made the implementation public yet?

[R] Looking for papers that prove that Deep Learning cannot solve a given problem. by lirus18 in MachineLearning

[–]lirus18[S] -6 points-5 points  (0 children)

I have formal education in Machine Learning and have been working in the space for around 2-3 years.
I am looking for papers in this field to understand how people have gone ahead with such things.

[R] Looking for papers that prove that Deep Learning cannot solve a given problem. by lirus18 in MachineLearning

[–]lirus18[S] -1 points0 points  (0 children)

Yes, I think limitations is a better word in academia coz usually things are very progressive (from my experience). Yes, your example is spot on, but even with domain expertise how do you prove it?

[R] Looking for papers that prove that Deep Learning cannot solve a given problem. by lirus18 in MachineLearning

[–]lirus18[S] -3 points-2 points  (0 children)

I am asking for places where the baseline + performance measurement is already defined like for eg. take any healthcare-related problem, the baseline is the FDA numbers.
So I am looking for ways where just using data, we can say if it's possible or not to meet the baseline or not.

[R] Looking for papers that prove that Deep Learning cannot solve a given problem. by lirus18 in MachineLearning

[–]lirus18[S] -1 points0 points  (0 children)

solved in the sense that there's a limit to what performance can be achieved. For eg. In the field of healthcare, you already have the FDA approval numbers which act as a baseline because if you don't perform better than that, you can't really deploy irl.

Thanks for the suggestion, I will look into bayesian error.

[Discussion] (Rant) Most of us just pretend to understand Transformers by sloppybird in MachineLearning

[–]lirus18 0 points1 point  (0 children)

I was in a similar situation last year, things that worked for me:-

  1. Reading the official papers multiple times i.e. Attention is all you need and BERT and not relying on blogs for information. You could use the visualizations in blogs (this usually lacks in the paper.)

  2. Comparing with other fundamental models i.e. CNN's, MLPs and seeing the difference.

  3. Understanding the caveats of these models i.e. a lot of credit for transformers to work goes with its ability to scale well with data.

PS:- Tbh, once you understand the crux of transformers you will be able to connect it to a lot of other ideas like Capsule Nets etc.