The now famous NeurIPS Technical Debt Paper from 2015 discussed how most of the code and effort in the production machine learning system is non-ML engineering and data management work. This session will discuss:
- Do software engineering principles apply to Machine Learning development and deployment?
- How is an ML system different from traditional application?
- How important is data versioning?
- What are the next logical steps in the development of the data science engineering tool chains?
- How will the data ecosystem evolve over the next few years?
Previous session: The previous session was held on 3 June May. Summary of the session is available on https://hasgeek.com/fifthelephant/making-data-science-work-2/
About the series producer: The Fifth Elephant is platform for practitioners working with data (engineering, to application of data science for different use cases) to showcase their work and to collaborate.
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