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Martin Fowler

Oct 27, 2019, Software Pundits
Martin Fowler St Agnes, UK (2018) To read the full article click on the 'post' link at the top.

Using CD4ML to evolve without bias

Martin Fowler

Sep 19, 2019, Software Pundits
Martin Fowler Introduction and Definition In the famous Google paper published by Sculley et al. in 2015 “Hidden Technical Debt in Machine

Data Versioning and Pipelines in CD4ML

Martin Fowler

Sep 18, 2019, Software Pundits
Martin Fowler Introduction and Definition In the famous Google paper published by Sculley et al. in 2015 “Hidden Technical Debt in Machine

Orchestration and Observability in CD4ML

Martin Fowler

Sep 11, 2019, Software Pundits
Martin Fowler Introduction and Definition In the famous Google paper published by Sculley et al. in 2015 “Hidden Technical Debt in Machine

Experiments Tracking and Model Deployment in CD4ML

Martin Fowler

Sep 9, 2019, Software Pundits
Martin Fowler Introduction and Definition In the famous Google paper published by Sculley et al. in 2015 “Hidden Technical Debt in Machine

Serving and testing models in CD4ML

Martin Fowler

Sep 6, 2019, Software Pundits
Martin Fowler Introduction and Definition In the famous Google paper published by Sculley et al. in 2015 “Hidden Technical Debt in Machine

Technical Components of CD4ML

Martin Fowler

Sep 4, 2019, Software Pundits
Martin Fowler Machine Learning applications are becoming popular in our industry, however the process for developing, deploying, and continuously

The actual cost of lock-in and how to reduce it

Martin Fowler

Sep 4, 2019, Software Pundits
Martin Fowler A significant share of architectural energy is spent on reducing or avoiding lock-in. That’s a rather noble objective:

Continuous Delivery for Machine Learning

Martin Fowler

Sep 3, 2019, Software Pundits
Martin Fowler Introduction and Definition In the famous Google paper published by Sculley et al. in 2015 “Hidden Technical Debt in Machine

A model for thnking about lock-in

Martin Fowler

Sep 2, 2019, Software Pundits
Martin Fowler A significant share of architectural energy is spent on reducing or avoiding lock-in. That’s a rather noble objective:
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