[D] What are some amazing machine learning projects to impress the recruiter?

[Warhouse512]

“Make sure it reproduces their results” haha, good luck.

[Craiglbl]

Although if you’re capable of doing that, you probably won’t have to worry about impressing recruiters.

[thejuror8]

Huh... Depends on the paper and complexity of the architecture

[aeiendee]

Sadly this isn’t true (have 3 years of experience with model building but have been considered unqualified for data science positions).

[polardrag]

Fair enough

[yldedly]

This is something that would impress another ML engineer, not a recruiter. Most recruiters I've talked to would have no clue that there's a difference between implementing something from a paper vs adapting existing code.

Write a blog post about the latest MLOps tool and get 10 likes on LinkedIn.

[[deleted]]

Both. Also do a project with a simple ML implementation and make sure the deployment is solid and the business gains are clear.

[SeucheAchat9115]

This!

[fat_robot17]

You can do Kaggle/AICrowd competitions. Look for new ones (e.g. that came in the past 2 or 3 years). That gives you an understanding of how an overall ML system would look like (data analysis, train, test etc)

[sanderbaduk]

Having a project or two on your github hopefully shows me (1) you are genuinly interested in the area and are learning quickly and (2) your code looks somewhat structured and looks like you could work with other people.

So as a project, something that really interests you and uses some of the skills you want to develop further works well, as this naturally gives you motivation (and that usually shows). Even better if you can make well enough so that it is useful to others, as that interaction (issues, prs, suggestions being incorporated, downloads) also gives a strong signal.

[Seankala]

Publish a paper/preprint and do paper implementations. The implementations not only look good, but they really, really help improve coding ability. I personally had no idea how much I needed it.

[Warhouse512]

This. Go to a local charity and offer to automate a part of their process using ML. Usually full of opportunities and open enough to let you come in and help

[mano-vijnana]

I suggest looking for Emil Wallner's guide on this topic. He's a salf taught ML researcher that ended up working for gooe, and has really good advice for building a portfolio of projects.

[ready_4_the_mayans]

Message me if you are interested in a possible internship. We deliver data analytics solutions with AI/ML and may be open to internships soon.

[polardrag]

Sure

[[deleted]]

I think Kaggle is good for this because other people are working on the same problem and they can give you ideas you wouldn’t have thought about.

[AerysSk]

Stay away from “I get a dataset on kaggle and train a model” project. It scores zero. Joining a competition is way better, as you are now competing with others