1- Bias-variance tradeoff 2- Difference between training set and validation set 3- Interpretability vs Accuracy 4- SQL questions 5- Behavioral questions 6- Approaching a problem with no labels 7- If you had an API how would you load a csv? 8- What is pep8? 9- What is a confusion matrix (error matrix)? 10- Anomaly detection 11- Grid search 12- Coding challenges
Very useful information! Just one feedback. When you change to a new topic, it is really abrupt. So it was easy to miss a lot of times the new topic that is now suddenly being discussed. And it was a bit confusing. So maybe start with "Now let's talk about / discuss..." Or put the new topic on the screen.
Ah, I got most of these in my interview at a fintech startup for an Intern position last Autumn Anyways got rejected as I couldn't code up a snake-ladders-simulator after 40-45mins of rapid fire ML fundamentals 😭💀😬 That was my first and last interview, haven't really got any post that. Thanks for sharing
Can you do a video on ml hardware jobs, like Accelerators design/implementation jobs. I'm doing my masters in microelectronics engineering and I want to do my project and thesis in this topic.
It depends, yes there will be very few DSA questions occasionally. But a lot less than in normal Software Engineering interviews. I would not focus too much on it, but again it heavily depends on the company you are applying to. My best guess is 50% don't care at all, 30% have maybe 2-3 simple questions, 20% care a lot about it( mostly because they simply copy pasted some parts from their software engineering hiring process)
@@datawithsandro2919 It was not only the CV, but also your effort on the cover letter and the interviews. How many months before your job starting date did you start sending CVs?
tip: often such opportunities are not explicitly listed as job offers. Try writing friendly and low key to machine learning engineers/data scientist in your area if their company could imagine hosting you as an intern. Don't be shy they'll be friendly and worst case not answer, but if your dedicated enough something will pop up
![Machine Learning Engineer Resume/CV SAMPLE [SOMETHING TO BUILD ON]](http://i.ytimg.com/vi/cGEg_fTa6eQ/mqdefault.jpg)
![Machine Learning Engineer Resume/CV SAMPLE [SOMETHING TO BUILD ON]](/img/tr.png)
1- Bias-variance tradeoff
2- Difference between training set and validation set
3- Interpretability vs Accuracy
4- SQL questions
5- Behavioral questions
6- Approaching a problem with no labels
7- If you had an API how would you load a csv?
8- What is pep8?
9- What is a confusion matrix (error matrix)?
10- Anomaly detection
11- Grid search
12- Coding challenges
perfect! wish i saw this video before i went into my interview, and almost everything you named was asked. thanks for sharing mate!
Very glad I could help, and I hope you get your dream job!
This man is gonna get me my first post-graduate job LETS GOOOOOOOO
Good luck, go and get what you deserve🙌
Thank you for this awesome video, Sandro. It is really useful in preparing to become an MLE :)
Very useful information! Just one feedback. When you change to a new topic, it is really abrupt. So it was easy to miss a lot of times the new topic that is now suddenly being discussed. And it was a bit confusing. So maybe start with "Now let's talk about / discuss..." Or put the new topic on the screen.
Cheers, also thanks for the feedback. Definitely something to work on👌
I NEED to become an MLE engineer asap. I love this so much and I already have ML Scientist exp
Wishing you the best, you surely will get there in no time!
@Data with Sandro thank you Sandro! 💛
Ah, I got most of these in my interview at a fintech startup for an Intern position last Autumn
Anyways got rejected as I couldn't code up a snake-ladders-simulator after 40-45mins of rapid fire ML fundamentals 😭💀😬
That was my first and last interview, haven't really got any post that.
Thanks for sharing
Thank you for sharing, Sandro!!!💯💯
Happy it helps!
You got my like for the PhD in Quantum Physics opener
Happy you liked it!
I always saw bias as the opposite of precision, and variance as the opposite of accuracy (Balistically speaking)
Thanks for sharing :) It's always great to learn from other's experience. Stay blessed :)
Very happy, it helped
awesome video sandro ... love it
Thanks Sandro, this was really helpful
Thank you, really happy it was useful for you!
Can you do a video on ml hardware jobs, like Accelerators design/implementation jobs. I'm doing my masters in microelectronics engineering and I want to do my project and thesis in this topic.
Sounds very interesting I'll keep it on my radar, maybe as a collaboration with a friends doable
@@datawithsandro2919 perfect.
thanks for this
Thanks and good luck!
what was the better way to load a csv in an api?
write a custom method to read the csv with C, takeaway pandas is not the most perfomant option to read a csv
That is pretty nebulous though. Literally everything will be faster if custom written in C.
What about Data structure question? Don’t they ask DSA question in Interview?
It depends, yes there will be very few DSA questions occasionally. But a lot less than in normal Software Engineering interviews. I would not focus too much on it, but again it heavily depends on the company you are applying to. My best guess is 50% don't care at all, 30% have maybe 2-3 simple questions, 20% care a lot about it( mostly because they simply copy pasted some parts from their software engineering hiring process)
may vary heavily depending on the country/company size/type you are applying in
nice
❤👍
Amazing, great you could use it!
You sent your resume to 12 postions or you got a response from 12 positions?
12 positions i send it to, I got 3 offers. Hard to say if it was the CV, but decent TPR😉
@@datawithsandro2919 It was not only the CV, but also your effort on the cover letter and the interviews. How many months before your job starting date did you start sending CVs?
Surely the content of the CV an cover letter will always remain more important then the actual form. If I remember correctly around 3 months
medium and twitter links are not working
Thanks for letting me know👍 -> updated
I am Kind of learning machine leraning , any opportunitiy for internship at any field i want to gain experience
tip: often such opportunities are not explicitly listed as job offers. Try writing friendly and low key to machine learning engineers/data scientist in your area if their company could imagine hosting you as an intern. Don't be shy they'll be friendly and worst case not answer, but if your dedicated enough something will pop up
@@datawithsandro2919 thanks for your support i will keep these things in mind
How to load csv?
The extensive answer is below one of the other comments. Sorry can't copy paste on my phone right now
great¡¡¡ could you recommend some courses for free on internet plz?