Hi everyone,

I am from the University of Munich and have previously published in the Computer Vision category on arXiv and am now only endorsed for the cs.CV category.  My new paper, “Enhancing Deep Learning Model Robustness through Metamorphic Re-Training”, is more focused on general AI, and therefore I would like to submit it to the cs.AI category :)

I need an endorsement to proceed. If you’re qualified, I’d appreciate your help: https://arxiv.org/auth/endorse?x=ZKK9HC

You can also find me on LinkedIn if you'd like to connect. Thanks in advance!

I have been self learning ML since last 3-4 months. As I already have background in Python. I started with the libraries, solved sql on LC, then maths, EDA..now im doing ANDREW NG ml coursera. I also worked on some projects to practice the real use of it, but it really feels like I have forgotten alot of stuff I learned before. Even tho I try to revise as much as I can …im still lacking something. Is there a strategy to revise or what can I can I do…im seriously struggling and stressed as there are so many things yet to learn.

Hello,

I was wondering how a entry level machine learning engineer becomes a senior machine learning engineer. Is the skills required to become a Sr ML engineer learned on the job, or do I have to self study? If self studying is the appropriate way to advance, how many hours per week should I dedicate to go from entry level to Sr level in 3 years, and how exactly should I self study? Advice is greatly appreciated!

Hi Reddit!

I hope everyone is fat and happy after turkey day.

I'm a data scientist who has worked with companies you know. I'm looking for a project to tackle between now and Janurary/Feburary. I just lost a large project with an airline to a large consulting shop and I'm looking to fill up my holiday so I'm champing at the bit.

The project was network scheduling during cascading failures in airline routes. A pilot calls in sick, or a plane has an unrepairable fault, How does the airline reschedule crews/planes to keep the maximum number of flights/passengers satisfied, taking into account cascade effects. It involved some deep ML, and some really trick optimization methods.

I've worked on other projects including large language models, knowledge extraction, and the usual ML stuff - failure prediction for a large german automaker, translation, maintenance optimization for a taxi fleet, automated sports highlights, and more. I've also done some more interesting work including vehicle route planning in constrained environments.

The perfect fit is a hair on fire green or brownfield problem that needs solving. I'd also appreciate referals. I'm available immediately, and champing at the bit before boredom sets in. DM me immediately.

Hi everyone, I'm a NYC based engineer that has 7+ years of experience - I'm really a generalist that has done a lot. I started out in Data Science, moved on to traditional Machine Learning, and recently I've been working with AI building RAG systems. I have experience with 8+ languages including Python, Javascript, Typescript, Matlab, SQL, and more. I've done data engineering, I've worked with the big 3 cloud computing services (mainly Azure) and some private servers (Linux based), and I have worked as a Data Analyst too. My experience is heavily skewed towards backend, although I'm indifferent in terms that or the tech stack.

I'm a hard worker and self directed, and can work in any environment really!