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How did I change my mind about dataclasses in ML projects?
2022-08-13
Laszlo Sragner
Aug 13
6
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How did I change my mind about dataclasses in ML projects?
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Slides for my talk at PyData London 2022
"Clean Architecture: How to structure your ML projects to reduce technical debt"
Laszlo Sragner
Jun 20
2
3
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Slides for my talk at PyData London 2022
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User Comments on: "How can a Data Scientist refactor Jupyter notebooks towards production-quality code?"
2022-06-12
Laszlo Sragner
Jun 12
1
5
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User Comments on: "How can a Data Scientist refactor Jupyter notebooks towards production-quality code?"
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Industrial Scale Text Classification
2022-05-04
Laszlo Sragner
May 4
3
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Industrial Scale Text Classification
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Clean Architecture in Data Science (Part 1)
2022-04-24
Laszlo Sragner
Apr 24
8
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Clean Architecture in Data Science (Part 1)
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Getting Data Scientists to Write Better Code 🔥 with Laszlo Sragner
Youtube - 2022-02-14
Laszlo Sragner
Apr 22
2
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Getting Data Scientists to Write Better Code 🔥 with Laszlo Sragner
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Documentation vs Documentation in Data Science
Posted on Linkedin on 2022-04-20
Laszlo Sragner
Apr 20
1
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Documentation vs Documentation in Data Science
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AI and COVID: A lesson of ML product design
2022-03-29
Laszlo Sragner
Mar 29
1
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AI and COVID: A lesson of ML product design
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Article Review: Rendezvous Architecture for Data Science in Production by Jan Teichmann
2022-03-22
Laszlo Sragner
Mar 22
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Article Review: Rendezvous Architecture for Data Science in Production by Jan Teichmann
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Article Review: Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology by Mercedes-Benz AG and TU Berlin
2022-03-21
Laszlo Sragner
Mar 21
1
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Article Review: Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology by Mercedes-Benz AG and TU Berlin
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Article Review: Machine Learning operations maturity model by Microsoft
2022-03-19
Laszlo Sragner
Mar 19
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Article Review: Machine Learning operations maturity model by Microsoft
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Article Review: MLOps: Continuous delivery and automation pipelines in machine learning by Google
2022-03-18
Laszlo Sragner
Mar 18
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Article Review: MLOps: Continuous delivery and automation pipelines in machine learning by Google
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