Thanks for the advice! I’ve been working on a Major Research Project at my university. My professor and I are currently coming up with new methods to create watermarks in the generated outputs by LLMs. I hope this will be considered as an academic project!
It's a start! Make sure to enjoy it, and definitely sounds like an academic project as there's a lot of interest in the AI Ethics / Safety and Responsibility space right now - don't be afraid to go deep into any math/papers and learn hard things!
Hey haris, I am doing one ml project in my uni with one professor, is it important to dig deep into the mathematics of any algorithm or concept do they ask while interview? pls reply
@@Vvv-uj2km it completely depends on the interviewer/company; some could ask you to define a transformer or write an equation related to traditional ML/stats such as k-means clustering etc - and some mostly just ask you to design ML systems if it’s an MLE role at a high level - I recommend checking out MLEPath’s channel and videos on the types of MLE interviews
If you’re interested in the space, try implementing some math from papers in a section of ML you’re interested (for example it could be a tiny Mamba model, or a new policy on top of reinforcement learning etc). Even better if you can find a research lab to do this with and get some qualified projects; and learn basic Python.
@ thank you for the response! I’ll definitely have a look into that. Would you recommend getting a masters in like compsci? I have very strong grades in all my modules thus far so this could be an option. I am not sure how well it would actually improve my career prospects however
@@philip7039 If you get a Masters, it might help marginally - but it's not the main differentiator/enough for some positions. Now if you do a thesis or some academic projects through your masters (outside of the courses, like with your professor or on your own related to the ML specialty), then that will make the masters meaningful and actually help. For example, if you just do a masters with some courses it might help you luck/land a role. But if you do a masters because you're interested in generating video with AI and what the state of the art for that looks like, and you implement some basic proof of concept papers or even play with some of the technology then you can apply to more prestigious places in the video ai space like RunwayML and will definitely have an easier time. So TLDR - if you know you want to specialize or learn deeper, then a masters is great as long as you take advantage of that time to also do some projects and not just rely on your courses. If you are just doing it hoping the title alone will carry you, then I would reconsider doing it later with more industry knowledge/experience etc.
@@tamalmahanty167 andrew Ng’s course on ML or fastAI if you’re completely new; then for whatever specialization you’re interested in just look up courses/syllabuses from MIT, Stanford, CMU, GT, UIUC, Berkeley and follow those while building projects related to the most interest classes / content
Hello Hairs Sir, thank you for your youtube videos. Moreover, I want to ask whether buying M4max apple with 128 gb laptop for machine learning, AI and Data science or buy M4 max with 36 gb and use cloud for higher data computation. It would be our pleasure to have on best laptop idea for these categories.
@@NagendraLama-s4q I think either one is fine for some local tasks - but if you want to train anything at scale you will have to utilize the cloud ; the 128gb won’t save you from utilizing cloud for training larger models (especially if it’s for industry projects)
@@Wonder_Chariot I would do an amateur projects in robotics or controls or whatever specific part you’re interested in building at home so you can make that pivot- otherwise joining a robotics lab in your closest university and adding those projects to your resume could also be good Either way on your data science resume you’ll need some signal, whether academic or personal robotics projects to get the interview for ml robotics engineer roles
![Noob To Max With DRAGON REWORK In Blox Fruits [FULL MOVIE]](http://i.ytimg.com/vi/LnBMOinoOvA/mqdefault.jpg)
can’t believe i just drank like 100 mango lassis
Thanks for the advice! I’ve been working on a Major Research Project at my university. My professor and I are currently coming up with new methods to create watermarks in the generated outputs by LLMs. I hope this will be considered as an academic project!
It's a start! Make sure to enjoy it, and definitely sounds like an academic project as there's a lot of interest in the AI Ethics / Safety and Responsibility space right now - don't be afraid to go deep into any math/papers and learn hard things!
thanks man for the video and sharing insights. really helpful.
Your channel is super useful and you seem like a very cool friend!
Thank you for your nice advice 🌄
@@AchrafChamakh thank you!!
This vid gave me diabetes but also an ML job so it was so worth
fire video brother
Thank you brother
not even a swe but respect to the Mr ML
Hey haris, I am doing one ml project in my uni with one professor, is it important to dig deep into the mathematics of any algorithm or concept do they ask while interview? pls reply
@@Vvv-uj2km it completely depends on the interviewer/company; some could ask you to define a transformer or write an equation related to traditional ML/stats such as k-means clustering etc - and some mostly just ask you to design ML systems if it’s an MLE role at a high level - I recommend checking out MLEPath’s channel and videos on the types of MLE interviews
Do you have any advice for a mathematics student interested in the space?
If you’re interested in the space, try implementing some math from papers in a section of ML you’re interested (for example it could be a tiny Mamba model, or a new policy on top of reinforcement learning etc).
Even better if you can find a research lab to do this with and get some qualified projects; and learn basic Python.
@ thank you for the response! I’ll definitely have a look into that. Would you recommend getting a masters in like compsci? I have very strong grades in all my modules thus far so this could be an option. I am not sure how well it would actually improve my career prospects however
@@philip7039 If you get a Masters, it might help marginally - but it's not the main differentiator/enough for some positions. Now if you do a thesis or some academic projects through your masters (outside of the courses, like with your professor or on your own related to the ML specialty), then that will make the masters meaningful and actually help.
For example, if you just do a masters with some courses it might help you luck/land a role. But if you do a masters because you're interested in generating video with AI and what the state of the art for that looks like, and you implement some basic proof of concept papers or even play with some of the technology then you can apply to more prestigious places in the video ai space like RunwayML and will definitely have an easier time.
So TLDR - if you know you want to specialize or learn deeper, then a masters is great as long as you take advantage of that time to also do some projects and not just rely on your courses. If you are just doing it hoping the title alone will carry you, then I would reconsider doing it later with more industry knowledge/experience etc.
Can you give me a few ML project ideas
hi Sajjaad I am a follower of yours. I was wondering if you are trying to pivot into Machine learning engineer role?
Can you please tell me some good resources from where I can start ML.
@@tamalmahanty167 andrew Ng’s course on ML or fastAI if you’re completely new; then for whatever specialization you’re interested in just look up courses/syllabuses from MIT, Stanford, CMU, GT, UIUC, Berkeley and follow those while building projects related to the most interest classes / content
Hello Hairs Sir, thank you for your youtube videos. Moreover, I want to ask whether buying M4max apple with 128 gb laptop for machine learning, AI and Data science or buy M4 max with 36 gb and use cloud for higher data computation. It would be our pleasure to have on best laptop idea for these categories.
@@NagendraLama-s4q I think either one is fine for some local tasks - but if you want to train anything at scale you will have to utilize the cloud ; the 128gb won’t save you from utilizing cloud for training larger models (especially if it’s for industry projects)
@ so then buying 36 gb m4 max base model is fine even we have to opt for cloud at the end yes sir.
Hey I'm trying to land a role for an ml robotics engineer. I have a background in data science though so I wasn't sure exactly how to go about it
@@Wonder_Chariot I would do an amateur projects in robotics or controls or whatever specific part you’re interested in building at home so you can make that pivot- otherwise joining a robotics lab in your closest university and adding those projects to your resume could also be good
Either way on your data science resume you’ll need some signal, whether academic or personal robotics projects to get the interview for ml robotics engineer roles
west coast man now :DD
Refer me pls
I'd like one too, if you're giving them out
first!