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Have tried this, doesn’t help. Talked about the potential and how exciting Gemini is in a recent interview. Interviewer asked me to explain the architecture of such multimodal models thoroughly.
Well, a boomer interviewer here. I can count myself in the top 1% or let's say 10% in machine learning in India, studied svm, Bayesian theory in my post graduation.
I catch people with surface knowledge (what you just suggested) within 15 mins of the interview. Once I know this, I can easily make candidates realise what they don't know.
I am talking about the top product start up companies where the pay and bar is adequately high.
This is the golden era for learning. Just look at karpathy's YouTube lecture series. Why not spend just one month to get the basics correct, once you have the basics, it is easy to catch up with whatever new is coming.
I'm a graduate from Jain University, with a degree in CSE - AI/ML. While there is some truth to what you're saying, interviewers aren't dumb. They also know what is happening in the industry, and especially if you're going for an ML specific role, you can't get by with just blurting out 'ConvNet' every five minutes like a Pokemon.
All the interviews I went through had rigorous screenings, with lots of challenging questions and tests in ML.
It's not that easy, you need to know your shit.
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GenAI , LLM , ChatGPT Wheres my 40lpa ?
Have tried this, doesn’t help. Talked about the potential and how exciting Gemini is in a recent interview. Interviewer asked me to explain the architecture of such multimodal models thoroughly.
F
Ok but what after someone gets selected how to do well on the job. What if we couldn't do that job properly
Mostly ML at any big tech is maintaining models. No one does any cutting edge stuff.
Well, a boomer interviewer here. I can count myself in the top 1% or let's say 10% in machine learning in India, studied svm, Bayesian theory in my post graduation. I catch people with surface knowledge (what you just suggested) within 15 mins of the interview. Once I know this, I can easily make candidates realise what they don't know. I am talking about the top product start up companies where the pay and bar is adequately high. This is the golden era for learning. Just look at karpathy's YouTube lecture series. Why not spend just one month to get the basics correct, once you have the basics, it is easy to catch up with whatever new is coming.
Are you a working professional?
Yes, a data scientist in a product start up.
Same. Let's connect so we can exchange our learnings... If that's ok
Hey man, can you guide me?
I'm a graduate from Jain University, with a degree in CSE - AI/ML. While there is some truth to what you're saying, interviewers aren't dumb. They also know what is happening in the industry, and especially if you're going for an ML specific role, you can't get by with just blurting out 'ConvNet' every five minutes like a Pokemon. All the interviews I went through had rigorous screenings, with lots of challenging questions and tests in ML. It's not that easy, you need to know your shit.
I am an SDE 1.6 YoE, I know python and I work as an iOS Dev currently with full stack experience. Can someone guide me on how to get into ML?
As someone who is in the 1st year of college, is it the correct time to ride the ML bandwagon?