Tag: Feature Engineering
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Feature Stores and Training Serving Skew in Machine Learning (Data Science Series, Part 23)
A model that scores well offline and badly in production is usually not a modelling failure. It is two pieces of code computing the same feature differently. Here is how skew happens, what a feature store fixes, and when a shared library is the better answer.
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Feature Engineering in Python: Where Model Accuracy Actually Comes From (Data Science Series, Part 6)
Encoding, ratio features and cross fitted target encoding on the churn table, with a measured leakage demo that turns a column of random noise into an AUC of 0.800.
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Architecture & Design
About the Author
Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
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