Subject archive for "data-science-featured"

Data Science

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

Data Science

Density-Based Clustering

Original content by Manojit Nandi - Updated by Josh Poduska.

By Manojit Nandi28 min read

Data Science

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

Data Science

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

Addison-Wesley Professional

Clustering in R

By Domino13 min read

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