Machine Learning Engineering in Action

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Sprache: Englisch

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Beschreibung

Field-tested tips, tricks, and design patterns for building MachineLearning projects that are deployable, maintainable, and secure from concept toproduction.
In Machine Learning Engineering inAction, you will learn:

Evaluatingdata science problems to find the most effective solution
Scopinga machine learning project for usage expectations and budget
Processtechniques that minimize wasted effort and speed up production
Assessinga project using standardized prototyping work and statistical validation
Choosingthe right technologies and tools for your project
Makingyour codebase more understandable, maintainable, and testable
Automatingyour troubleshooting and logging practices

Databricks solutions architect BenWilson lays out an approach to building deployable, maintainable productionmachine learning systems. YouGÇÖll adopt software development standards thatdeliver better code management, and make it easier to test, scale, and evenreuse your machine learning code!

Evaluatingdata science problems to find the most effective solution
Scopinga machine learning project for usage expectations and budget
Processtechniques that minimize wasted effort and speed up production
Assessinga project using standardized prototyping work and statistical validation
Choosingthe right technologies and tools for your project
Makingyour codebase more understandable, maintainable, and testable
Automatingyour troubleshooting and logging practices

Über den Autor

Ben Wilson has worked as a professional data scientist for more than ten years. He currently works as a resident solutions architect at Databricks,where he focuses on machine learning production architecture with companies ranging from 5-person startups to global Fortune 100. Ben is the creator and lead developer of the Databricks Labs AutoML project, a Scala-and Python-based toolkit that simplifies machine learning feature engineering, model tuning, and pipeline-enabled modelling.

Erscheinungsjahr:	2022
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	Kartoniert / Broschiert
ISBN-13:	9781617298714
ISBN-10:	1617298719
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Wilson, Ben
Hersteller:	Manning Publications
Maße:	232 x 185 x 32 mm
Von/Mit:	Ben Wilson
Erscheinungsdatum:	14.04.2022
Gewicht:	1,032 kg

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