fitting-support-vector-machines-quadratic-programming Blog Related Topics 
Domino Data Lab
JUNE 8, 2021
In this blog post we take a deep dive into the internals of Support Vector Machines. We derive a Linear SVM classifier, explain its advantages, and show what the fitting process looks like when solved via CVXOPT – a convex optimisation package for Python. 1999) and more.
The Unofficial Google Data Science Blog
APRIL 23, 2024
Here, $X$ is a vector of tuning parameters that control the system's operating characteristics (e.g. the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., the fraction of video recommendations resulted in positive user experiences).
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