Machine Learning as a Software Engineering Discipline with Dillon Erb - #404
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Integrating Machine Learning and Software Engineering
This chapter explores the collaborative integration of machine learning practices within traditional software engineering frameworks. It emphasizes the challenges and best practices necessary for deploying machine learning models, including reproducibility, workflow management, and the use of tools like Jupyter and Kubernetes. The discussion highlights the evolving dynamics between data science and software engineering, advocating for structured pipelines that enhance productivity and collaboration.
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