Subject archive for "data"

Data Science

Density-Based Clustering

Original content by Manojit Nandi - Updated by Josh Poduska.

By Manojit Nandi28 min read

Data Science

Why models fail to deliver value and what you can do about it.

Building models requires a lot of time and effort. Data scientists can spend weeks just trying to find, capture and transform data into decent features for models, not to mention many cycles of training, tuning, and tweaking models so they’re performant.

By David Bloch9 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

Addison-Wesley Professional

Techniques for Collecting, Prepping, and Plotting Data: Predicting Social Media-Influence in the NBA

This article provides insight on the mindset, approach, and tools to consider when solving a real-world ML problem. It covers questions to consider as well as collecting, prepping and plotting data.

By Domino31 min read

Addison-Wesley Professional

Clustering in R

By Domino13 min read

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