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Название: Software Engineering for Data Scientists (MEAP v3)
Автор: Andrew Treadway
Издательство: Manning Publications
Год: 2023
Страниц: 319
Язык: английский
Формат: pdf, epub
Размер: 16.8 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. Part 4 will teach you how to effectively monitor your code in production. This is especially relevant when you deploy a Machine Learning model to make predictions on a recurring or automated basis. We’ll cover logging, automated reporting, and how to build dashboards with Python.
Автор: Andrew Treadway
Издательство: Manning Publications
Год: 2023
Страниц: 319
Язык: английский
Формат: pdf, epub
Размер: 16.8 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. Part 4 will teach you how to effectively monitor your code in production. This is especially relevant when you deploy a Machine Learning model to make predictions on a recurring or automated basis. We’ll cover logging, automated reporting, and how to build dashboards with Python.