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mchab

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[dead] 1 year ago

Hi everyone, I wanted to share a tool I’ve been working on called Deep-0. It’s designed to generate coding challenges and exercises from any technical topic whether it’s machine learning, software engineering, financial math, or any other area you’re interested in. The idea is to turn what you’re learning into interactive, structured problems you can solve.

The tool’s still evolving, but I think it’s a neat way to bridge the gap between reading and actually working through the ideas. If you’re curious to see how it works or have suggestions, here’s the link: https://deep-ml.com/deep0

Would love to hear if you’ve tried similar approaches or have ideas for where this could go next!

Hi,

We've introduced some new features to Deep-ML designed specifically to help you master challenging topics more effectively.

One of these features is problem breakdown. With this capability, you can approach any complex machine learning problem by breaking it down into smaller, more manageable pieces. This approach makes it easier to pinpoint exactly where you're getting stuck, helping you to learn faster and solve problems more confidently. This feature is accessible to everyone on the daily question and available for all other questions with the premium subscription.

We've also added collections—a way to test your understanding of key concepts thoroughly. Collections help you determine if you truly grasp a topic by guiding you through carefully structured problems based on influential resources like the "Attention Is All You Need" paper or Andrej Karpathy's Micrograd tutorial. Completing these collections earns you badges, providing clear evidence of your knowledge and abilities—without needing a formal degree.

We'd love to hear your thoughts!

I've created a website https://www.deep-ml.com/ where learners can practice and implement machine learning algorithms using only numpy. Now, I'm making all the problems open source on GitHub: https://github.com/Open-Deep-ML/DML-OpenProblem.

The goal is to provide a resource where people can dive deep into the fundamentals of machine learning without relying on high-level libraries, making the learning process more transparent and hands-on. Contributions and feedback are welcome!

ML Code Exercises 2 years ago

Thank you for the feedback will look into that

Edit: the sign up works for me, but the spacing is an issue

ML Code Exercises 2 years ago

That is a good point, thank you for the input I will change up the example problem to clear things up

ML Code Exercises 2 years ago

Yes, it seems like there is an issue with that question will try and fix that as soon as possible, thank you for the catch

ML Code Exercises 2 years ago

Yeah I think I miss titled my post it is more of a learning tool and less of a leetcode/ interview prep site

ML Code Exercises 2 years ago

I really enjoyed andrej karpathy’s zero to hero videos and I like the concept of you don’t know something till you build it, so I made this site, probably should of come up with a better title because it is made as a learning tool not as interview prep like leetcode

ML Code Exercises 2 years ago

Probably should have titled it something else, I made it more as a learning platform for people to get better at ml by implementing algorithms from scratch. I’m currently a data scientist but wanted to become a machine learning researcher or engineer and I thought these types of questions would help

ML Code Exercises 2 years ago

The learn section should help, but I think I need to spend more time improving the learn section