ML Resources! Math Review For ML: th-cam.com/video/OYJhBjnLp0I/w-d-xo.html How ML Models Learn: th-cam.com/video/bbYdqd6wemI/w-d-xo.html Linear Regression Explained: th-cam.com/video/2vE3DqWdEXo/w-d-xo.html Neural Networks Explained: th-cam.com/video/xZcOTAJ-h6w/w-d-xo.html First-Principles Framework (Learn Fundamentals): bit.ly/3Zgwknf Beginner's Blueprint (Build Projects): bit.ly/3UYptw4
So what all things you did during your masters for ML jobs. All concepts (ML,DL,NLP, CV, LLMs etc), Pytorch , Implementing papers, leetcode, system design is that all ? Was this enough to get an ML job ? . I am intersted in knowing what kind of projects you did and uploaded on your github for multiple offers. Would be cool if you put your linkedin/github profile in your videos.
Clarification: I haven't landed any ML research positions, just engineering positions. Will definitely add a resume/project breakdown video to the queue! And yup, that more or less sums up what I did in my Master's.
@@gptLearningHub ML research positions are anyway scarce. Anyways i am currently focusing on learning how to reimplement ML papers using Pytorch, I did a fullstack project called PaperPod which allows you to upload a research paper , summarize it with pretrianed model like BART/T5 and convert it to podcast using google's text to speech api (opensource gTTS is crapy but it works )😂😂, System Design , Leetcode , some Devops/Mlops (MLFlow, DVC, Kubeflow). Hope i am learning all the skills and tools necessary as an AI engineer. Learning never ends 😂😂. Do you feel the only requirements companies now have (or what majority of companies have in their job listings) from an AI/ML Engineer is to know when to use which pretrained model , finetune them a particular dataset, building RAGs , MLops etc ?
1:18 yes im having trouble, can you please tell how can i apply for masters at good university? What prior experience do i meed to have in order to get masters at good university?
What ML algorithm would you recommend for a RuneScape PvP bot? I was trying to use qlearning bc it was easy to get started, but the state action space feels too small to develop a useful pking bot.
Hello, I explained my case in an E-mail about a week ago (yet to receive a response ), let me know if there are other ways to contact you. Thanks for the vid
@@Alfie-x4c I provide breakdowns of the most important research papers as well! Check out the TH-cam videos in the pinned comment to see if you like my teaching style!
ML Resources!
Math Review For ML: th-cam.com/video/OYJhBjnLp0I/w-d-xo.html
How ML Models Learn: th-cam.com/video/bbYdqd6wemI/w-d-xo.html
Linear Regression Explained: th-cam.com/video/2vE3DqWdEXo/w-d-xo.html
Neural Networks Explained: th-cam.com/video/xZcOTAJ-h6w/w-d-xo.html
First-Principles Framework (Learn Fundamentals): bit.ly/3Zgwknf
Beginner's Blueprint (Build Projects): bit.ly/3UYptw4
So what all things you did during your masters for ML jobs. All concepts (ML,DL,NLP, CV, LLMs etc), Pytorch , Implementing papers, leetcode, system design is that all ? Was this enough to get an ML job ? . I am intersted in knowing what kind of projects you did and uploaded on your github for multiple offers. Would be cool if you put your linkedin/github profile in your videos.
Clarification: I haven't landed any ML research positions, just engineering positions.
Will definitely add a resume/project breakdown video to the queue!
And yup, that more or less sums up what I did in my Master's.
@@gptLearningHub ML research positions are anyway scarce. Anyways i am currently focusing on learning how to reimplement ML papers using Pytorch, I did a fullstack project called PaperPod which allows you to upload a research paper , summarize it with pretrianed model like BART/T5 and convert it to podcast using google's text to speech api (opensource gTTS is crapy but it works )😂😂, System Design , Leetcode , some Devops/Mlops (MLFlow, DVC, Kubeflow). Hope i am learning all the skills and tools necessary as an AI engineer. Learning never ends 😂😂. Do you feel the only requirements companies now have (or what majority of companies have in their job listings) from an AI/ML Engineer is to know when to use which pretrained model , finetune them a particular dataset, building RAGs , MLops etc ?
I’ll be using my GI Bill to get that masters in data science so I see why not but first I want some experience in the work force
Sweet! If you have tuition covered, it definitely makes sense to do a Master's.
@@gptLearningHub I agree it’s a big reason I joined the military for school also love the channel man!
1:18 yes im having trouble, can you please tell how can i apply for masters at good university? What prior experience do i meed to have in order to get masters at good university?
Also does research experience in undergrad years matter?
What ML algorithm would you recommend for a RuneScape PvP bot? I was trying to use qlearning bc it was easy to get started, but the state action space feels too small to develop a useful pking bot.
Interesting project! Deep Q Learning and imitation learning come to mind, but definitely not an easy task
Hello, I explained my case in an E-mail about a week ago (yet to receive a response ), let me know if there are other ways to contact you. Thanks for the vid
A bit behind on emails at the moment - will get back to you soon!
I thoughtthat there was only a PhD in ML in GaTech. Is there a masters program in ML at GaTech as well?
CS with ML track
Yup, M.S. in Computer Science with ML specialization
🐐
Appreciate the support man
Few companies requires at least masters
Definitely!
I saw your , website and your paid courses,
But how are your courses is different from other courses on udemy?
@@Alfie-x4c I provide breakdowns of the most important research papers as well! Check out the TH-cam videos in the pinned comment to see if you like my teaching style!
Do you have a discord server where your community can chat?
@@mubasharwarriach7216 Not at the moment, but I may open one!
@ you should bro.
@@mubasharwarriach7216 will add it to the to do list!
Will you be working after graduation?
Yep, I'll be moving to the Bay Area