Great article! I think you’ve done a great job of introducing these difficult concepts in simple language. I saved to Pocket and it’s already got a Best Of labe

Great article! I think you’ve done a great job of introducing these difficult concepts in simple language. I saved to Pocket and it’s already got a Best Of label there. PCA (KLT) can be introduced as a generalization of the Fourier Transform. This can follow from using a cocktail mix analogy to Fourier Series. When I was a TA this was the approach I took with students, which seemed to make things easier for them. An introductory post on PCA vs FA is here: https://towardsdatascience.com/what-is-the-difference-between-pca-and-factor-analysis-5362ef6fa6f9 https://towardsdatascience.com/what-is-the-difference-betwee... Personal note: Susan Dumais, mentioned in the article also did great early work in text summarization, just after she joined Microsoft. I tried using some of her approached in video summarization in my PHDin early 2000s. How time flies.