Data Science in Production: Building Scalable Model Pipelines with PythonКНИГИ » ПРОГРАММИНГ
Название: Data Science in Production: Building Scalable Model Pipelines with Python Автор: Ben Weber Издательство: Amazon.com Services LLC Год: 2020 Формат: PDF, EPUB Страниц: 234 Размер: 10 Mb Язык: English
Putting predictive models into production is one of the most direct ways that data scientists can add value to an organization. By learning how to build and deploy scalable model pipelines, data scientists can own more of the model production process and more rapidly deliver data products.
This book provides a hands-on approach to scaling up Python code to work in distributed environments in order to build robust pipelines. Readers will learn how to set up machine learning models as web endpoints, serverless functions, and streaming pipelines using multiple cloud environments. It is intended for analytics practitioners with hands-on experience with Python libraries such as Pandas and scikit-learn, and will focus on scaling up prototype models to production.
Data Science with Python and Dask Название: Data Science with Python and Dask Автор: Jesse C. Daniel Издательство: Manning Publications Год: 2019 Формат: EPUB, PDF Страниц: 296 Для...
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Data Science in Production: Building Scalable Model Pipelines with Python 
