Architecture of ML systems 1/3

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A series how to turn machine learning models into production-ready software solutions

Episode 1
- Why data science needs software architecture
- Mastering requirements
Episode 2
- Taking technical decisions
- Best practices for decision making
Episode 3
- Communication and documentation
- Skills and personal development

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Some really interesting points there. Thanks for posting this. I am going to work through this series of 3 videos but I do hope you apply your experience to expanding and extrapolating some other useful guides in this area. This industry needs clear and concise insights and you are well-placed to provide them.

graemewallace