Sadly, I didn’t pass the interview but I still learned a lot and wanted to share my experience and possibly help you avoid the same mistakes I made :) Did you find the video helpful? Please let me know 😊
K-nearest-neighbors and K-means are different algorithms. KNN belongs to Supervised learning so it requires labels to calculate the proximity between each one of them. A common application would be a movie recommendation system. On the other hand, K-means uses no labels so it belongs to the Unsupervised learning. It makes clusters on its own and is an iterative process. You just have to define the amount of clusters. It can either be elbow method or its performance in the downstream purpose its used for.
Finde ich gut, dass du auch dein Scheitern teilst. Leider sieht man viel zu oft nur Leute die ein internship nach dem anderen baggen, aber das ist natürlich nur die absolute Ausnahme. Bin mir sicher, dass es nächstes Mal besser läuft!
Das stimmt! Ich war am Anfang auch echt etwas frustriert, warum ich keine Einladungen zumindest bekomme. Ich habe nichts dagegen durchzufallen, weil ich dabei sehr viel lerne und ich sehe wie andere so viele interviews schon hatten (irgendwann klappt es dann auch), aber man muss das immer mit einem Filter betrachten. Ich habe demnächst ein Interview bei einem anderen (kleineren) coolen Unternehmen, mal sehen was da passiert ☺️👨🏻💻
I'm in third year of my bachelors and I find your videos extremely relatable and helpful. I look forward to your career and your new videos and I would love to talk to you, over discord or something.
Thank you very very much! I‘m also excited to see what is to come ☺️ I‘ve just announced a new discord server for the community! 🤩 A link to the server is in the description of my newest video ☺️
K nearest neighbors is not a clustering algorithm but a search by "proximity/distance" algorithm. Which can be used as a classifier with majority vote etc. you mean KMEAN Clustering algorithm
Had a similar experience interviewing at CRED { a big fintech startup in India }, we talked about my projects + tree-based methods and ML fundamentals for 40-45mins, all was going good but then he moved to a standard DSA question which I completely fumbled and panicked over.....
I was too! I didn‘t know what to expect and I didn‘t find so much about such interviews online… but I have learned *a lot* from this interview! Also, scientists in general are kind people :) at least in my experience I hope this video helps you with your prep! You got this! 💪🏼💪🏼💪🏼
The questions you shared are mostly within my comfort zone, but I've heard from many people that even for ML Engineer interviews, a lot of the focus is on LeetCode-style questions, which I'm not very strong at. Is this true? You didn't seem to mention LeetCode-style questions in the video.
You can definitely give it a shot and apply. But as you said, it will probably be more difficult. You would need to somehow demonstrate skills equivalent to what would be expected from a Masters's degree. But definitely give it a try!
I'm glad it brought you value ☺️ In the interview they didn't ask any coding questions. But the first stage (out of those two) was the online assessment which pretty much just tests your standard leetcode questions.
Sadly, I didn’t pass the interview but I still learned a lot and wanted to share my experience and possibly help you avoid the same mistakes I made :)
Did you find the video helpful? Please let me know 😊
Video was really inspiring and informative for me! Thanks
Bro don't be sad about not been selected God will have a good and a great plan ahead for you ....😁😁😁
Just a bad luck for Amazon they lost a diamond like you 💯
K-nearest-neighbors and K-means are different algorithms. KNN belongs to Supervised learning so it requires labels to calculate the proximity between each one of them. A common application would be a movie recommendation system. On the other hand, K-means uses no labels so it belongs to the Unsupervised learning. It makes clusters on its own and is an iterative process. You just have to define the amount of clusters. It can either be elbow method or its performance in the downstream purpose its used for.
Finde ich gut, dass du auch dein Scheitern teilst. Leider sieht man viel zu oft nur Leute die ein internship nach dem anderen baggen, aber das ist natürlich nur die absolute Ausnahme. Bin mir sicher, dass es nächstes Mal besser läuft!
Das stimmt! Ich war am Anfang auch echt etwas frustriert, warum ich keine Einladungen zumindest bekomme. Ich habe nichts dagegen durchzufallen, weil ich dabei sehr viel lerne und ich sehe wie andere so viele interviews schon hatten (irgendwann klappt es dann auch), aber man muss das immer mit einem Filter betrachten.
Ich habe demnächst ein Interview bei einem anderen (kleineren) coolen Unternehmen, mal sehen was da passiert ☺️👨🏻💻
I'm in third year of my bachelors and I find your videos extremely relatable and helpful. I look forward to your career and your new videos and I would love to talk to you, over discord or something.
Thank you very very much!
I‘m also excited to see what is to come ☺️
I‘ve just announced a new discord server for the community! 🤩
A link to the server is in the description of my newest video ☺️
You’re doing the lord’s work
K nearest neighbors is not a clustering algorithm but a search by "proximity/distance" algorithm. Which can be used as a classifier with majority vote etc. you mean KMEAN Clustering algorithm
that‘s true 🫣
Had a similar experience interviewing at CRED { a big fintech startup in India }, we talked about my projects + tree-based methods and ML fundamentals for 40-45mins, all was going good but then he moved to a standard DSA question which I completely fumbled and panicked over.....
yur linkedin bro
I'll be having an amazon applied scientist interview soon, feeling a bit nervous for sure.
I was too! I didn‘t know what to expect and I didn‘t find so much about such interviews online… but I have learned *a lot* from this interview!
Also, scientists in general are kind people :) at least in my experience
I hope this video helps you with your prep!
You got this! 💪🏼💪🏼💪🏼
@@borismeinardus definitely helps, thanks for the video!
@@echidnuttt9326how did it go?
find your videos are especially useful, keep going!!! And btw, may you do more videos on Route Guidance for machine learning, please?
Thanks a lot! I‘ll do my best 🫡☺️
The questions you shared are mostly within my comfort zone, but I've heard from many people that even for ML Engineer interviews, a lot of the focus is on LeetCode-style questions, which I'm not very strong at. Is this true? You didn't seem to mention LeetCode-style questions in the video.
This is a great learning tips for the interview, ML bro
Really glad it was helpful!
Any one cracked interview by following this
Amazon took an L on this one! Let’s see which company will be luck enough to employ you ❤
Always gotta stay confident but humble 😊
@@borismeinardus THATS WHY YOU THE 🐐
@@leokonto6860 😮💨🫡
hey, i realised that its been one year to this video so i wanted to ask what are you doing now.and if i wanna ask you something where can i?
legend
Is there any coding round??
in p value should we allways consider the distribution to as normal distributioon or it can be skewness distibution ?
Hey bro just wandering what kind of first coding interview quetions did you get in amazon?
I am on the way....
🙏🏼🙏🏼
Do they usually have a DSA round for ML internships/full time?
k nearest neighbor ie not clustering algorithm, it is classification. So there is no need to select a k. I think you mixing kmeans clustering and knn
Thank you for sharing! Can I still apply i don't have a Master's degree? Ik the minimum qualifications require a Master's degree so is there a chance?
You can definitely give it a shot and apply. But as you said, it will probably be more difficult. You would need to somehow demonstrate skills equivalent to what would be expected from a Masters's degree.
But definitely give it a try!
@@borismeinardus Thank you bro😄
Do they ask any coding problems? Thank you for your sharing
I'm glad it brought you value ☺️
In the interview they didn't ask any coding questions. But the first stage (out of those two) was the online assessment which pretty much just tests your standard leetcode questions.
Can I have a questions ? What is the best book to learn systems verilog, Thank you so much.
I sadly have 0 experience with Systems verilog :/ I can‘t really recommend anything.. Sorry!
@@borismeinardus wow, in your university what langue do they use to learn HDL?
mainly VHDL :)
Ohh! feel bad for you, questions seemed fairly simple but yeah interview pressure can make that happen.