re-training – Andrew Fairless, Ph.D.

What I Read: ML model drift in production

By Andrew Fairless on March 21, 2022January 20, 2022

https://towardsdatascience.com/my-data-drifted-whats-next-how-to-handle-ml-model-drift-in-production-78719ef007b1 “My data drifted. What’s next?” How to handle ML model drift in production.An introductory overview of the possible steps.Elena SamuylovaDec 1, 2021 ““I have a model in production, andContinue readingWhat I Read: ML model drift in production

What I Read: evaluate online machine learning models

By Andrew Fairless on March 14, 2022January 20, 2022

https://maxhalford.github.io/blog/online-learning-evaluation/ The correct way to evaluate online machine learning modelsMax Halford2020-06-07 “Batch models are meant to be used when you can afford to retrain your model from scratch every soContinue readingWhat I Read: evaluate online machine learning models

What I Read: Real-time machine learning

By Andrew Fairless on March 9, 2022January 20, 2022

https://huyenchip.com//2022/01/02/real-time-machine-learning-challenges-and-solutions.html Real-time machine learning: challenges and solutionsJan 2, 2022 • Chip Huyen “Starting with a batch prediction system, we’ll discuss what’s needed for a simple online prediction system using batchContinue readingWhat I Read: Real-time machine learning

What I Read: Continuous Training Strategy

By Andrew Fairless on May 12, 2021April 17, 2021

https://www.superwise.ai/resources/framework-for-a-successful-continuous-training-strategy Framework for a successful Continuous Training StrategyOr Itzary & Liran NahumMarch 18, 2021 “…ML models need to be retrained regularly…. Continuous training seeks to automatically and continuously retrain theContinue readingWhat I Read: Continuous Training Strategy

What I Read: The Ultimate Guide to Model Retraining

By Andrew Fairless on November 29, 2020November 28, 2020

https://www.kdnuggets.com/2019/12/ultimate-guide-model-retraining.html The Ultimate Guide to Model RetrainingBy Luigi Patruno, Data Scientist and the founder of ML in Production. “…one of the most important things you can do before deploying aContinue readingWhat I Read: The Ultimate Guide to Model Retraining

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