Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
暫譯: 商業數據科學：結合機器學習與經濟學以優化、自動化及加速商業決策
Taddy, Matt
- 出版商: McGraw-Hill Education
- 出版日期: 2019-08-21
- 售價: $1,740
- 貴賓價: 9.5 折 $1,653
- 語言: 英文
- 頁數: 352
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1260452778
- ISBN-13: 9781260452778
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相關分類:
Machine Learning、經濟學 Economy、Data Science
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相關翻譯:
數據科學與商業分析 用機器學習與統計學優化商業決策 (簡中版)
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商品描述
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
Use machine learning to understand your customers, frame decisions, and drive value
The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you'll find the information, insight, and tools you need to flourish in today's data-driven economy. You'll learn how to:
-Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling-Understand how use ML tools in real world business problems, where causation matters more that correlation-Solve data science programs by scripting in the R programming language
Today's business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It's about the exciting things being done around Big Data to run a flourishing business. It's about the precepts, principals, and best practices that you need know for best-in-class business data science.
Use machine learning to understand your customers, frame decisions, and drive value
The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you'll find the information, insight, and tools you need to flourish in today's data-driven economy. You'll learn how to:
-Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling-Understand how use ML tools in real world business problems, where causation matters more that correlation-Solve data science programs by scripting in the R programming language
Today's business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It's about the exciting things being done around Big Data to run a flourishing business. It's about the precepts, principals, and best practices that you need know for best-in-class business data science.
商品描述(中文翻譯)
出版社聲明：從第三方賣家購買的產品，出版社不保證其質量、真實性或對產品中包含的任何在線權益的訪問。
利用機器學習了解您的客戶、制定決策並創造價值
商業分析的世界已經改變，數據科學家正在主導。商業數據科學將引導您通過使用機器學習來實施最佳商業數據科學的步驟。無論您是希望深入了解數據的商業領袖，還是想學習如何將機器學習應用於商業問題的工程師，您都會找到在當今數據驅動經濟中蓬勃發展所需的信息、見解和工具。您將學習如何：
- 使用機器學習的關鍵構建塊：稀疏正則化、樣本外驗證以及潛在因子和主題建模 - 理解如何在現實世界的商業問題中使用機器學習工具，因為因果關係比相關性更重要 - 通過在R編程語言中編寫腳本來解決數據科學問題
當今的商業環境由數據驅動並不斷變化。公司生死攸關於其快速有效地做出和實施正確決策的能力。商業數據科學是關於正確地進行數據科學。它關於圍繞大數據所做的令人興奮的事情，以運營一個繁榮的業務。它關於您需要了解的最佳商業數據科學的原則、準則和最佳實踐。
作者簡介
Matt Taddy was from 2008-2018 a Professor of Econometrics and Statistics at the University of Chicago Booth School of Business, where he developed their Data Science curriculum. Prior to and while at Chicago Booth, he has also worked in a variety of industry positions including as a Principal Researcher at Microsoft and a research fellow at eBay. He left Chicago in 2018 to join Amazon as a Vice President.
作者簡介(中文翻譯)
馬特·塔迪（Matt Taddy）於2008年至2018年擔任芝加哥大學布斯商學院的計量經濟學與統計學教授，並在此期間開發了他們的數據科學課程。在加入芝加哥布斯之前及在此期間，他還曾在多個行業擔任職位，包括微軟的首席研究員和eBay的研究員。2018年，他離開芝加哥，加入亞馬遜擔任副總裁。
