Re:Introduction to K-Means Clustering
by anonymousDan on Monday March 14, 2022 @04:23PM
(#30677759)
The more I learn about machine learning, the more it seems to me that the real key is to understand optimization algorithms (both analytical and numerical) and how/when they are likely to converge. Am I wrong? Are there good books summarizing the relationship between all the different approaches to optimization used in ML?
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You're basically trying to fit data to some model and to help with that you have a cost function that you try to optimize. Any decent machine learning curriculum will have an optimization course.