Machine Learning Engineering in Action
Wilson, Ben
- 出版商: Manning
- 出版日期: 2022-04-26
- 售價: $2,150
- 貴賓價: 9.5 折 $2,043
- 語言: 英文
- 頁數: 300
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1617298719
- ISBN-13: 9781617298714
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相關分類:
Machine Learning
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相關翻譯:
機器學習項目交付實戰 (簡中版)
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商品描述
Field-tested tips, tricks, and design patterns for building Machine Learning projects that are deployable, maintainable, and secure from concept to production. Machine Learning Engineering in Action 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! You'll learn how to plan and scope your project, manage cross-team logistics that avoid fatal communication failures, and design your code's architecture for improved resilience. You'll even discover when not to use machine learning--and the alternative approaches that might be cheaper and more effective. When you're done working through this toolbox guide, you'll be able to reliably deliver cost-effective solutions for organizations big and small alike. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
商品描述(中文翻譯)
機器學習工程實踐指南：從概念到生產，建立可部署、可維護和安全的機器學習項目的現場測試技巧、技巧和設計模式。
《機器學習工程實踐》提供了一種建立可部署、可維護的生產機器學習系統的方法。您將採用軟件開發標準，提供更好的代碼管理，並使測試、擴展甚至重用機器學習代碼更加容易！您將學習如何計劃和範圍您的項目，管理跨團隊的物流，避免致命的溝通失敗，並設計代碼架構以提高韌性。您甚至會發現何時不應使用機器學習，以及可能更便宜、更有效的替代方法。當您完成這本工具書的學習後，您將能夠可靠地為大大小小的組織提供具有成本效益的解決方案。購買印刷版書籍將包括一本免費的電子書（PDF、Kindle和ePub格式），由Manning Publications提供。作者簡介
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 modeling.
作者簡介(中文翻譯)
Ben Wilson在過去十年中一直擔任專業的資料科學家。他目前在Databricks擔任住宅解決方案架構師，專注於與從5人初創公司到全球財富100強企業合作的機器學習生產架構。Ben是Databricks Labs AutoML項目的創建者和首席開發人員，該項目是一個基於Scala和Python的工具包，用於簡化機器學習特徵工程、模型調整和管道化建模。
