kpeters (@__kpeters__) 's Twitter Profile
kpeters

@__kpeters__

Data Science enthusiast with increasing interest in MLOps.

ID: 1303385587098021889

calendar_today08-09-2020 17:32:12

12 Tweet

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Yesterday I launched my blog post series "Exploring NASA's turbofan dataset" on Towards Data Science You can read the first article Predictive maintenance of turbofan engines now! towardsdatascience.com/predictive-mai…

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My second article "The importance of problem framing for supervised predictive maintenance solutions" in the series "Exploring NASA turbofan dataset" has just been published on Towards Data Science! towardsdatascience.com/the-importance…

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My third article "Time series analysis for predictive maintenance of turbofan engines" in the series "Exploring NASA turbofan dataset" has just gone live! You can read it on Towards Data Science towardsdatascience.com/time-series-an…

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With #Atos colleagues Harmen Boers, Mark de Haan, Martijn de Graaf and Henry Noordman we build a smart-on-FHIR app for #umcg during a #hackathon in less than 4 hours! The app combines multiple EHRs to showcase a patients carepath across multiple hospitals. #fhir #healthcareIT

With #Atos colleagues Harmen Boers, Mark de Haan, Martijn de Graaf and Henry Noordman we build a smart-on-FHIR app for #umcg during a #hackathon in less than 4 hours! The app combines multiple EHRs to showcase a patients carepath across multiple hospitals. #fhir #healthcareIT
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My next article "Survival analysis for predictive maintenance of turbofan engines" in the series "Exploring NASA turbofan dataset" had just gone live! You can read it now Towards Data Science towardsdatascience.com/survival-analy…

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In preparation of my next post, I wrote a small piece on developing reproducible Neural Networks in Jupyter Notebook. It takes more than just setting the seed! you can read all about it now on Towards Data Science

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My next article in the series "Exploring NASAs turbofan dataset" has just gone live on Towards Data Science . We're dealing with engines which run on different operating conditions, which was much more challenging to account for than expected! towardsdatascience.com/lagged-mlp-for…

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My last article in the series "Exploring NASAs turbofan dataset" has just gone live on Towards Data Science. Results are on par with 2017/2018 state of the art models, which I think is really neat given the NN architecture is quite simple! towardsdatascience.com/lstm-for-predi…