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Gerben Oostra

Semantic Versioning for ML models

Semantic versioning makes it easy to be explicit about changes in software releases. Could it also benefit machine learning models? Let’s…

Mar 22

Semantic Versioning for ML models

Mar 22

Policy Learning without overlap, is it possible?

In offline policy learning, one typically requires ‘overlap’ (also known as positivity or common support) for both policy learning and…

Feb 1, 2023

Policy Learning without overlap, is it possible?

Feb 1, 2023

Python Poetry mono repo without limitations

Easily adapting poetry to a mono repo, with released packages and local dev dependencies

Jan 9, 2023

Jan 9, 2023

The future of lead scoring is prescriptive

Lead scores aren’t effective in optimizing engagement efforts. A prescriptive approach will improve conversion.

Oct 3, 2022

The future of lead scoring is prescriptive

Oct 3, 2022

To-do list survival guide

Getting more and more responsibilities results in different kind of tasks, full agenda’s and less time to focus. As I explained in the…

Apr 23, 2021

To-do list survival guide

Apr 23, 2021

Published in
bigdatarepublic

Two steps towards a modern data platform

It’s easy to get lost with many options like Data Lakes, Lakehouses and Data Meshes. How do you go about developing such a data platform?

Mar 22, 2021

Two steps towards a modern data platform

Mar 22, 2021

Published in
bigdatarepublic

Understanding inverse propensity weighting

As an ML Engineering craftsman, it’s important to know how models and algorithms work. This allows me to know when approaches work and…

Dec 8, 2020

Understanding inverse propensity weighting

Dec 8, 2020

Published in
bigdatarepublic

How to grow as a data science professional — introducing the Skill Stack

Professionals need to grow and develop their skills to advance in one’s career. As a data scientist, it’s no difference. There are a…

May 20, 2020

How to grow as a data science professional — introducing the Skill Stack

May 20, 2020

Published in
bigdatarepublic

Preventing churn like a bandit

Uplift modeling meets causal inference in a bootstrapped reinforcement learning setup.

Jan 6, 2020

Preventing churn like a bandit

Jan 6, 2020

Published in
bigdatarepublic

For effective treatment of churn, don’t predict churn

Solving the correct problem with machine learning.

Sep 13, 2019

just an header image

Sep 13, 2019

Gerben Oostra

Gerben Oostra

Senior machine learning engineer with a focus on Causal Inference https://www.linkedin.com/in/gerbenoostra

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