feature engineering – Andrew Fairless, Ph.D.

What I Read: StandardScaler

By Andrew Fairless on July 24, 2024May 24, 2024

https://www.youtube.com/watch?v=VZxqqH58F5M The StandardScaler is not Standard:probabl. “There is a scaler in scikit-learn called the “StandardScaler”. The name might imply that it is standard or fairly basic., but once you considerContinue readingWhat I Read: StandardScaler

What I Read: impute income, opinion polls

By Andrew Fairless on May 7, 2024March 7, 2024

How to code and impute income in studies of opinion polls? How to code and impute income in studies of opinion polls?Andrew Gelman3/2/24 9:43 AM “What’s your preferred way toContinue readingWhat I Read: impute income, opinion polls

What I Read: Feature Platforms

By Andrew Fairless on March 14, 2023February 4, 2023

https://huyenchip.com//2023/01/08/self-serve-feature-platforms.html Self-serve feature platforms: architectures and APIsChip HuyenJan 8, 2023 “The last few years saw the maturation of a core component of the MLOps stack that has significantly improved theContinue readingWhat I Read: Feature Platforms

What I Read: Hidden Technical Debts

By Andrew Fairless on August 15, 2022July 18, 2022

https://www.kdnuggets.com/2022/07/hidden-technical-debts-every-ai-practitioner-aware.html Hidden Technical Debts Every AI Practitioner Should be Aware ofVidhi ChughJuly 7, 2022 “…technical debt is the long-term costs incurred by moving quickly in software engineering…. A large partContinue readingWhat I Read: Hidden Technical Debts

What I Read: Modern Stack for ML Infrastructure

By Andrew Fairless on June 13, 2022May 23, 2022

https://youtu.be/gZnhSHvhuFQThe Modern Stack for ML Infrastructure | OuterboundsMay 2, 2022Data Council “Metaflow was originally developed at Netflix to provide a user-friendly platform for a wide range of ML use cases…Continue readingWhat I Read: Modern Stack for ML Infrastructure

What I Read: Data Distribution Shifts

By Andrew Fairless on April 6, 2022March 12, 2022

https://huyenchip.com//2022/02/07/data-distribution-shifts-and-monitoring.html Data Distribution Shifts and MonitoringChip HuyenFebruary 7 2022 12:00 AM “…deploying a model isn’t the end of the process. A model’s performance degrades over time in production. Once aContinue readingWhat I Read: Data Distribution Shifts

Tag: feature engineering