Large-Scale Data Analytics with Python and Spark: A Hands-On Guide to Implementing Machine Learning Solutions (Paperback)
暫譯: 使用 Python 和 Spark 進行大規模數據分析:實作機器學習解決方案的實用指南(平裝本)
Triguero, Isaac, Galar, Mikel
- 出版商: Cambridge
- 出版日期: 2024-02-08
- 售價: $1,810
- 貴賓價: 9.5 折 $1,720
- 語言: 英文
- 頁數: 422
- 裝訂: Quality Paper - also called trade paper
- ISBN: 100931825X
- ISBN-13: 9781009318259
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相關分類:
Python、程式語言、Spark、Machine Learning、Data Science
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商品描述
Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments.
商品描述(中文翻譯)
根據作者豐富的教學經驗,這本實作型的研究生級教科書教授如何進行大規模數據分析並設計機器學習解決方案以應對大數據。該書專注於基本原理,經過廣泛的課堂測試,指導學生了解處理大規模數據的關鍵原則和範式、大規模數據分析的框架(如Hadoop、Spark),並解釋如何實施機器學習以利用大數據。這本書的獨特之處在於涵蓋了有志成為數據科學家所需了解的原則,而不會提供過多的細節以致於讓人感到不知所措。真實世界的範例、實作編碼練習和實驗室結合了極為清晰的解釋,以最大化學生的參與度。明確定義的學習目標、提供在線解決方案的練習題、講義幻燈片,以及一系列逐漸增加難度的Jupyter Notebooks實驗室練習,提供了一個連貫且方便的教學套件。這是計算機/數據科學系中針對大規模數據分析與機器學習課程的理想教學資源。