Think Like a Data Scientist: Tackle the data science process step-by-step

Brian Godsey

  • 出版商: Manning
  • 出版日期: 2017-04-02
  • 售價: $1,575
  • 貴賓價: 9.5$1,496
  • 語言: 英文
  • 頁數: 328
  • 裝訂: Paperback
  • ISBN: 1633430278
  • ISBN-13: 9781633430273
  • 相關分類: Data Science
  • 立即出貨 (庫存 < 4)

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商品描述

Summary

Think Like a Data Scientist presents a step-by-step approach to data science, combining analytic, programming, and business perspectives into easy-to-digest techniques and thought processes for solving real world data-centric problems.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Data collected from customers, scientific measurements, IoT sensors, and so on is valuable only if you understand it. Data scientists revel in the interesting and rewarding challenge of observing, exploring, analyzing, and interpreting this data. Getting started with data science means more than mastering analytic tools and techniques, however; the real magic happens when you begin to think like a data scientist. This book will get you there.

About the Book

Think Like a Data Scientist teaches you a step-by-step approach to solving real-world data-centric problems. By breaking down carefully crafted examples, you'll learn to combine analytic, programming, and business perspectives into a repeatable process for extracting real knowledge from data. As you read, you'll discover (or remember) valuable statistical techniques and explore powerful data science software. More importantly, you'll put this knowledge together using a structured process for data science. When you've finished, you'll have a strong foundation for a lifetime of data science learning and practice.

What's Inside

 

  • The data science process, step-by-step
  • How to anticipate problems
  • Dealing with uncertainty
  • Best practices in software and scientific thinking

About the Reader

Readers need beginner programming skills and knowledge of basic statistics.

About the Author

Brian Godsey has worked in software, academia, finance, and defense and has launched several data-centric start-ups.

Table of Contents

 

PART 1 - PREPARING AND GATHERING DATA AND KNOWLEDGE

PART 2 - BUILDING A PRODUCT WITH SOFTWARE AND STATISTICS

PART 3 - FINISHING OFF THE PRODUCT AND WRAPPING UP

  1. Philosophies of data science
  2. Setting goals by asking good questions
  3. Data all around us: the virtual wilderness
  4. Data wrangling: from capture to domestication
  5. Data assessment: poking and prodding
  6. Developing a plan
  7. Statistics and modeling: concepts and foundations
  8. Software: statistics in action
  9. Supplementary software: bigger, faster, more efficient
  10. Plan execution: putting it all together
  11. Delivering a product
  12. After product delivery: problems and revisions
  13. Wrapping up: putting the project away

商品描述(中文翻譯)


摘要

像資料科學家一樣思考提供了一種逐步進行資料科學的方法,將分析、程式設計和商業觀點結合起來,以易於理解的技巧和思考過程來解決現實世界中以資料為中心的問題。

購買印刷版書籍將包含一本免費的電子書,格式為PDF、Kindle和ePub,由Manning Publications提供。

關於技術

從客戶、科學測量、物聯網感應器等收集的資料只有在您理解它時才有價值。資料科學家喜歡觀察、探索、分析和解釋這些資料的有趣且有回報的挑戰。然而,入門資料科學不僅僅意味著掌握分析工具和技巧;真正的魔力發生在您開始像資料科學家一樣思考時。這本書將帶您達到那個境界。

關於本書

像資料科學家一樣思考教您一種逐步解決現實世界中以資料為中心的問題的方法。通過分解精心製作的示例,您將學習將分析、程式設計和商業觀點結合起來,形成一個可重複使用的從資料中提取真實知識的過程。在閱讀過程中,您將發現(或回想起)有價值的統計技巧,並探索強大的資料科學軟體。更重要的是,您將使用結構化的資料科學過程將這些知識結合起來。當您完成時,您將擁有一個堅實的基礎,可以終身學習和實踐資料科學。

內容簡介

 


  • 逐步進行資料科學的過程

  • 如何預測問題

  • 處理不確定性

  • 軟體和科學思維的最佳實踐

讀者對象

讀者需要具備初級程式設計技能和基本統計知識。

作者簡介

Brian Godsey在軟體、學術、金融和國防領域工作過,並創立了幾家以資料為中心的初創公司。

目錄

 

第1部分 - 準備和收集資料和知識

第2部分 - 使用軟體和統計建立產品

第3部分 - 完成產品和總結


  1. 資料科學的哲學

  2. 通過提出良好問題來設定目標

  3. 我們周圍的資料:虛擬荒野

  4. 資料整理:從捕獲到馴養

  5. 資料評估:探索和檢查

  6. 制定計劃

  7. 統計和建模:概念和基礎

  8. 軟體:統計的實踐

  9. 附加軟體:更大、更快、更高效

  10. 計劃執行:將所有內容結合起來

  11. 交付產品

  12. 交付產品後:問題和修訂

  13. 總結:結束項目