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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 Ferryin...
During the early part of the 20th century farming in America was transformed from a pre-industrial to an industrial activity. This book explores the modernization of the 1920s, which saw farmers adopt not just new technology, but also the financial cultural & ideological apparatus of industrialism.
Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.
List for March 7, 1844, is the list for September 10, 1842, amended in manuscript.