The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Navigating Machine Learning Artifacts
This chapter examines the complexities of managing machine learning artifacts and the integration of diverse tracking tools for versioning data. It discusses the balance between comprehensive solutions and specialized functionalities, emphasizing user-friendly approaches aligned with evolving machine learning needs. Furthermore, the speakers highlight the significance of clarity in distinguishing between various platforms and the dynamic nature of machine learning pipelines.
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