Machine Learning Engineering in Action (MEAP)КНИГИ » ПРОГРАММИНГ
Название: Machine Learning Engineering in Action (MEAP Version 4) Автор: Ben T.Wilson Издательство: Manning Publications Год: 2021 Формат: True PDF Страниц: 273 Размер: 18.2 Mb Язык: English
Field-tested tips, tricks, and design patterns for building Machine Learning projects that are deployable, maintainable, and secure from concept to production. In Machine Learning Engineering in Action, you will learn: Evaluating data science problems to find the most effective solution Scoping a machine learning project for usage expectations and budget Process techniques that minimize wasted effort and speed up production Assessing a project using standardized prototyping work and statistical validation Choosing the right technologies and tools for your project Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices Databricks solutions architect Ben Wilson lays out an approach to building deployable, maintainable production machine learning systems. You’ll adopt software development standards that deliver better code management, and make it easier to test, scale, and even reuse your machine learning code!
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Machine Learning Engineering in Action (MEAP) 
