Linear Algebra for Machine Learning book
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Linear Algebra for Machine Learning book
Machine learners call this process dimensionality reduction because it reduces a large number of visible dimensions (the pixels) to a few implicit ones (expression, facial features).
The following insights are based on independent research and analysis of over 1.5 million posts from Richard van der Blom- from 34,000 individual profiles, and over 26,000 company pages, spanning over 50 countries and 25 languages.
docs.google.comWhat we need is an algorithm that will spontaneously group together similar objects, or different images of the same object. This is the problem of clustering, and it’s one of the most intensively studied in machine learning.