The Institute for Ethical AI & Machine Learning hat dies direkt geteilt
Good Refactoring vs Bad Refactoring, a great reminder that not all refactors are committed equal: We have to remind ourselves on common pitfalls on refactoring, such as overcomplicating code with unnecessary abstractions, introducing inconsistent coding styles, and failing to understand the code before making changes. This resource has some great reminders on best practices such as maintaining consistency with the existing codebase, avoiding drastic shifts in paradigms without team consensus, and prioritizing readability and maintainability over perceived "cleanliness." Article: https://lnkd.in/eYY4wQeY -- If you liked this article you can join 60,000+ practitioners for weekly tutorials, resources, OSS frameworks, and MLOps events across the machine learning ecosystem: https://lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata