GSoC 2025

Moved onto the next part of the ML Specialization – Advanced Algorithms. Neural Networks! And TensorFlow! This feels like the real deep stuff. Multi-class classification...My laptop is getting a workout just running the examples.  

Making decent progress on the ML course. Linear Regression, Logistic Regression... check! It's clicking. Starting to imagine how this could apply to sorting astronomical data. Still feels very general, but useful nonetheless. 

Decided if I'm serious about GSoC '25, especially in the ML/Astro space, I need to brush up hard. Diving into Andrew Ng's Machine Learning Specialization on Coursera. Regression, classification... feels like building foundational bricks. Gotta get these concepts down pat before the projects even drop. 

 I am thinking of applying to GSoC again, it was such an amazing learning experience last time that I feel there is still lot more to learn.