The Core of Data Science: Decoding Data’s Structure with Eigenvalues, SVD, and PCA
Published:
A technical deep dive into foundational Linear Algebra tools—Eigendecomposition and SVD—and their synthesis in PCA for dimensionality reduction.
Posts by Tags
data-science
deep-learning
What I Learned Reading Three Knowledge Distillation Papers
Published:
A personal reading log covering Hinton (2015), Gou et al. (2021), and DETRDistill (2023) — from the basics of soft targets to query alignment in transformer-based detectors.
knowledge-distillation
What I Learned Reading Three Knowledge Distillation Papers
Published:
A personal reading log covering Hinton (2015), Gou et al. (2021), and DETRDistill (2023) — from the basics of soft targets to query alignment in transformer-based detectors.
linear-algebra
The Core of Data Science: Decoding Data’s Structure with Eigenvalues, SVD, and PCA
Published:
A technical deep dive into foundational Linear Algebra tools—Eigendecomposition and SVD—and their synthesis in PCA for dimensionality reduction.
object-detection
What I Learned Reading Three Knowledge Distillation Papers
Published:
A personal reading log covering Hinton (2015), Gou et al. (2021), and DETRDistill (2023) — from the basics of soft targets to query alignment in transformer-based detectors.