š IntroductionIām Sanika Nandpure, a third-year Computer Science student at UT Austin. Iām interested in ML for Systems, particularly how LLMs can be used to automate systems-related tasks. When I first started this website, I was working on research building Comp...Sep 11, 2025 Ā· 1 min readsanikanandpure.hashnode.dev
Deconvolution of Astronomical Images with Deep Neural Networkscitation H. Wang, Y. Lin, A. Slosar, S. Sreejith, N. Ramachandra, and S. Yoo, āDeconvolution of Astronomical Images with Deep Neural Networksā. 1ļøā£ first pass (abstract + information) optical astronomical images are affected by the point spread func...Aug 17, 2024 Ā· 7 min readsanikanandpure.hashnode.dev
Adaptive Optics Based On Machine Learning: a Review (notes)citation Y. Guo et al., āAdaptive optics based on machine learning: a review,ā OEA, vol. 5, no. 7, pp. 200082ā200082, 2022, doi: 10.29026/oea.2022.200082. first pass: abstract and introduction adaptive optics are used in almost all ground-based high...Aug 17, 2024 Ā· 10 min readsanikanandpure.hashnode.dev
Decision Trees vs. Neural NetworksDecision trees/tree ensembles work well on tabular (structured) data, such as the type that you could store in a spreadsheet Neural nets are better than decision trees for learning and making predictions for unstructured data (images, audio, speech,...May 19, 2024 Ā· 1 min readsanikanandpure.hashnode.dev
Decision Tree Boosting and XGBoostBoosting is a way of making decision tree ensembles both more efficient as well as more accurate. It derives from a practice that you may be already familiar with known as deliberate practice. When preparing for a test, it is often a smart practice t...May 19, 2024 Ā· 1 min readsanikanandpure.hashnode.dev