A Grammar of Machine Learning Workflows
arxiv.org·357.1 KB
by S Roth · 2026 · Cited by 1 — LLM code generators, and automated retraining schedules. The positive structure of a good ML work- flow is the diagnostics and strategy layer's ...
machine learning methodology
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Automating and Scaling Machine Learning Workflows with CI/CD
circleci.com·345.5 KB
continuous integration and continuous delivery (CI/CD) offers ML teams the ability to automate various stages of ML project development and deployment.
AI Product Development Lifecycle: A Framework ML
www.ijsr.net·202.5 KB
To address these, this paper proposes a structured AI product development framework that integrates MLOps, automation, and compliance measures to enhance model ...
Towards a Recontextualization of Fairness in Machine Learning
www.benzevgreen.com·99.8 KB
by B Green · Cited by 165 — The Myth in the Methodology: Towards a Recontextualization of Fairness in Machine Learning certifies the outcomes generated by the procedure as fair. accuracy ...
A Comprehensive Review on Scaling Machine Learning Workflows Using ...
ieeexplore.ieee.org·2.4 KB
by G Ramesh · 2025 · Cited by 22 — Machine Learning (ML) workflows in cloud environments presents critical challenges in ensuring reproducibility, low-latency inference, ...
End-to-End Trustworthy AI Engineering Lifecycle
www.thalesgroup.com·212 B
The integration of MLOps/AIOps and DevOps practices into the engineering lifecycle further reinforces the adaptability and reliability of AI systems, fostering ...
The Role of Machine Learning in Scientific Workflows
pure.manchester.ac.uk
by E Deelman · Cited by 54 — We describe the challenges of composing and executing scientific workflows and identify opportunities for applying machine learning techniques to meet these ...
Automated machine learning methodology for optimizing ...
www.econstor.eu
by YJ Cruz · 2024 · Cited by 38 — Automated machine learning tools and frameworks facilitate the path for deriving models, reducing modeling time and cost. However, optimization ...
Developing ML/DL Models: A Design Framework
www.diva-portal.org
by MM John · 2020 · Cited by 40 — First, we identify and present the seven phases of the design process based on the various activities of expert data scientists in different ...
Specific Aspects of Software Development Process for AI/ ...ieeexplore.ieee.org
by V Liubchenko · 2022 · Cited by 3 — We described the core differences in the software development process for AI/ML-based systems and the known approaches to working with them.
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