Uploaded January 2021 | Updated September 2026, 1 day ago
We open this lecture with a discussion of how advancements in science and technology come from a consumer demand for better toys. We also give an introduction to Principle Component Analysis (PCA). We talk about how to arrange data, shift it, and the find the principle components of our dataset. We conclude with a discussion of an example of PCA being applied in astronomy; a method called PCA Tomography for the exploration of data cubes.
PCA and Kernel PCA Derivation: youtu.be/Zd4ADCBWqFY
More on the Kernel Definition and RBF Interpolation: youtu.be/QMXwJX9ffJo
Music:
Come 2gether by Ooyy
Video Call from Los Angeles by Trevor Kolwalski
Guardians + Tek by Craig Hardgrove
We open this lecture with a discussion of how advancements in science and technology come from a consumer demand for better toys. We also give an introduction to Principle Component Analysis (PCA). We talk about how to arrange data, shift it, and the find the principle components of our dataset. We conclude with a discussion of an example of PCA being applied in astronomy; a method called PCA Tomography for the exploration of data cubes.
PCA and Kernel PCA Derivation: youtu.be/Zd4ADCBWqFY
More on the Kernel Definition and RBF Interpolation: youtu.be/QMXwJX9ffJo
Music:
Come 2gether by Ooyy
Video Call from Los Angeles by Trevor Kolwalski
Guardians + Tek by Craig Hardgrove
