The 2020 State of Engineering Practices for Machine Learning
In The 2020 State of Engineering Practices for Machine Learning we present the findings of our global survey among ML teams.
Our study revealed:
- which engineering practices are most adopted
- what teams are leading in practice adoption
- which effects are obtained with which practices
The practices from the survey are described in more detail in our online catalogue of ML engineering best practices.
More details about our survey methodology and statistical analysis are available in the scientific article Adoption and Effects of Software Engineering Best Practices in Machine Learning.
To contribute to future versions of our survey report, please take the survey!