When our life is flooded with tons of incoming information, how can one distill what really matters? Of course, using dimensional reduction! 😁 In this lecture, Prof. Rodriguez Garcia explores this exact topic, focusing on Principal Component Analysis (PCA) and multidimensional scaling. He unpacks the intricacies of PCA as a linear transformation method and its role in reducing dimensionality while addressing challenges such as the identification of significant components and the implications of data lying in hyperplanes.
You're also welcome to explore various multidimensional scaling methods presented in the lecture and their applications in nonlinear dimensional reduction and intrinsic dimensionality estimation.
📽️ Don't miss the chance to watch this Abdus Salam International Centre for Theoretical Physics (ICTP) #OpenAccess lecture for free and engage in discussions with Prof. Rodriguez Garcia and the Enabla community: https://enabla.com/pub/1107/about
#DimensionalReduction #PrincipalComponentAnalysis #DataScience #MultidimensionalScaling #OpenScience #ICTP
