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
Автор: Andrew Treadway
Издательство: Manning Publications
Год: 2023
Страниц: 213
Язык: английский
Формат: pdf (true)
Размер: 12.2 MB
These easy to learn and apply software engineering techniques will radically improve collaboration, scaling, and deployment in your Data Science projects. Software Engineering for Data Scientists presents important software engineering principles that will radically improve the performance and efficiency of Data Science projects. Author and Meta data scientist Andrew Treadway has spent over a decade guiding models and pipelines to production. This practical handbook is full of his sage advice that will change the way you structure your code, monitor model performance, and work effectively with the software engineering teams. Many basic software engineering skills apply directly to Data Science! As a data scientist, learning the right software engineering techniques can save you a world of time and frustration. Source control simplifies sharing, tracking, and backing up code. Testing helps reduce future errors in your models or pipelines.