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LeetCode for Machine Learning: A Game Changer in ML Education

Deep-ml.com aims to provide a LeetCode-like experience specifically tailored for machine learning enthusiasts and professionals.

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While LeetCode offers a plethora of coding challenges focused on algorithmic and data structure problems, it lacks questions for machine learning (ML). This gap is now being addressed by a new platform, deep-ml.com, which aims to provide a LeetCode-like experience specifically tailored for machine learning enthusiasts and professionals.

Deep-ml.com is designed to fill this void by providing a dedicated platform for machine learning challenges. The platform, initially launched as DeepMLeet on Streamlit, has since been upgraded to a more robust site that allows users to create accounts and track their progress. 

Bridging Leetcode’s Gap

This new site not only looks more polished but also offers a variety of questions that span key areas in ML, including linear algebra, machine learning algorithms, and deep learning. The platform’s creator emphasized the importance of being able to program machine learning algorithms from scratch, which is a critical skill for any ML professional. 

By focusing on these areas, it provides a comprehensive learning and practice environment for those looking to excel in machine learning. Users can solve problems, save their progress, and revisit challenges as needed, much like LeetCode. 

This feature is particularly beneficial for users who want to systematically improve their skills over time.

Similarly, there are other platforms that look to grow the developer community through hackathons and competitions. MachineHack, a leading GenAI startup, is renowned for empowering AI professionals through community sessions and interactive hackathons for community learning. The company is also hosting a Hackathon challenge with Abu Dhabi’s Technology Innovation Institute, or famously known as the makers of Falcon LLM.  

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Picture of Sagar Sharma

Sagar Sharma

A software engineer who loves to experiment with new-gen AI. He also happens to love testing hardware and sometimes they crash. While reviving his crashed system, you can find him reading literature, manga, or watering plants.
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