The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions
暫譯: 實用程式設計師：機器學習的工程分析與數據科學解決方案
Scutari, Marco, Malvestio, Mauro
- 出版商: CRC
- 出版日期: 2025-04-13
- 售價: $2,330
- 貴賓價: 9.5 折 $2,214
- 語言: 英文
- 頁數: 340
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367255065
- ISBN-13: 9780367255060
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相關分類:
Machine Learning、Data Science
海外代購書籍(需單獨結帳)
商品描述
Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life. The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions discusses how modern software engineering practices are part of this revolution both conceptually and in practical applictions.
Comprising a broad overview of how to design machine learning pipelines as well as the state-of-the-art tools we use to make them, this book provides a multi-disciplinary view of how traditional software engineering can be adapted to and integrated with the workflows of domain experts and probabilistic models.
From choosing the right hardware to designing effective pipelines architectures and adopting software development best practices, this guide will appeal to machine learning and data science specialists, whilst also laying out key high-level principlesin a way that is approachable for students of computer science and aspiring programmers.
商品描述(中文翻譯)
機器學習重新定義了我們處理數據的方式，並且越來越成為日常生活中不可或缺的一部分。《The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions》討論了現代軟體工程實踐如何在概念上和實際應用中成為這場革命的一部分。
本書提供了設計機器學習管道的廣泛概述，以及我們用來構建這些管道的最先進工具，從多學科的角度探討了傳統軟體工程如何適應並與領域專家的工作流程和概率模型整合。
從選擇合適的硬體到設計有效的管道架構，再到採用最佳的軟體開發實踐，本指南將吸引機器學習和數據科學專家，同時以易於理解的方式為計算機科學學生和有志於成為程式設計師的人士闡明關鍵的高層原則。
作者簡介
Marco Scutari is a Senior Researcher at Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Switzerland. He has held positions in statistics, statistical genetics and machine learning in the UK and Switzerland since completing his PhD in statistics in 2011. His research focuses on the theory of Bayesian networks and their applications to biological and clinical data, as well as statistical computing and software engineering.
Mauro Malvestio is a senior technologist based in Milan, Italy, with more than 15 years of experience in software engineering and IT operations in consulting and product companies as a CTO. His research focuses on software engineering, machine learning systems, embedded systems and cloud computing.
作者簡介(中文翻譯)
馬可·斯庫塔里 (Marco Scutari) 是瑞士達爾梅爾人工智慧研究所 (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, IDSIA) 的高級研究員。自2011年獲得統計學博士學位以來，他在英國和瑞士擔任過統計學、統計遺傳學和機器學習的職位。他的研究重點是貝葉斯網絡的理論及其在生物和臨床數據中的應用，以及統計計算和軟體工程。
毛羅·馬爾維斯蒂奧 (Mauro Malvestio) 是一位位於意大利米蘭的高級技術專家，擁有超過15年的軟體工程和IT運營經驗，曾擔任顧問和產品公司的首席技術官 (CTO)。他的研究重點是軟體工程、機器學習系統、嵌入式系統和雲計算。
