【2018新书】Practical Data Science

相似文件 换一批

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

• Title: Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets
• Author: Andreas François Vermeulen
• Length: 805 pages
• Edition: 1st ed.
• Language: English
• Publisher: Apress
• Publication Date: 2018-03-28
• ISBN-10: 1484230531
• ISBN-13: 9781484230534
  

Apress.Practical.Data.Science.1484230531.rar (6.93 MB, 需要: 5 个论坛币) 本附件包括：

• Apress.Practical.Data.Science.1484230531.epub
• Apress.Practical.Data.Science.1484230531.pdf

2018-2-28 20:32:46 上传

需要: 5 个论坛币  [购买]

Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets.

The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions.

What You'll Learn

• Become fluent in the essential concepts and terminology of data science and data engineering
• Build and use a technology stack that meets industry criteria
• Master the methods for retrieving actionable business knowledge
• Coordinate the handling of polyglot data types in a data lake for repeatable results
  

Who This Book Is For

Data scientists and data engineers who are required to convert data from a data lake into actionable knowledge for their business, and students who aspire to be data scientists and data engineers

Table of Contents

Chapter 1:   Data Science Technology Stack
Chapter 2:   Vermeulen-Krennwallner-Hillman-Clark
Chapter 3:   Layered Framework
Chapter 4:   Business Layer
Chapter 5:   Utility Layer
Chapter 6:   Three Management Layers
Chapter 7:   Retrieve Superstep
Chapter 8:   Assess Superstep
Chapter 9:   Process Superstep
Chapter 10:   Transform Superstep
Chapter 11:   Organize and Report Supersteps

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏5 回帖

关键词：Data Science Practical practic Science SCIE

thank you

好书，谢谢分享

支持分享

thank you