Subject archive for "data-science-featured"
Fitting Support Vector Machines via Quadratic Programming
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.
By Nikolay Manchev18 min read
Density-Based Clustering
Original content by Manojit Nandi - Updated by Josh Poduska.
By Manojit Nandi28 min read
Data Drift Detection for Image Classifiers
This article covers how to detect data drift for models that ingest image data as their input in order to prevent their silent degradation in production.
By Subir Mansukhani7 min read
Model Interpretability: The Conversation Continues
This Domino Data Science Field Note covers a proposed definition of interpretability and distilled overview of the PDR framework. Insights are drawn from Bin Yu, W. James Murdoch, Chandan Singh, Karl Kumber, and Reza Abbasi-Asi's recent paper, "Definitions, methods, and applications in interpretable machine learning".
By Ann Spencer9 min read
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