Hello world!

Welcome to my first-ever blog post! The idea of creating this space came after being referenced to the article Learn in public which encourages for sharing your learning journey openly. I’ve always found this kind of active learning appealing, but never thought of creating a dedicated space to summarize, digest and experiment with the material, until now.

Some time ago, I began exploring the omnipresent and omnipotent topic of machine learning in my personal time. For now, my plan is to share articles summarizing ML papers on topics that interest me, along with my derivations, interpretations, questions, and reflections. However the topics and kind of post might greatly change in the future.

When the content allows, I want to create interactive React implementations of some of the concepts from the paper, so that you and I can play and experiment with the material learned. Another feature I’d like to implement is a Obsidian-like graph that relates concepts, ideas, and articles, to visualize the knowledge structure and potentially connect unconnected subjects. Finally, I also plan to add a comments section to encourage clarifications, insights, and discussions.

I believe these three pillars: interactivity, interconnected sources, and feedback, can create a powerful basis for learning, not just for me but for anyone who joins this journey.