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Cover: 9781260452778 | Business Data Science | Matt Taddy | Buch | Englisch | 2019
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Business Data Science
Buch von Matt Taddy
Sprache: Englisch

27,95 €*

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Beschreibung
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.
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.
Über den Autor
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.
Inhaltsverzeichnis
Preface
Introduction
1 Uncertainty
2 Regression
3 Regularization
4 Classification
5 Experiments
6 Controls
7 Factorization
8 Text as Data
9 Nonparametrics
10 Artificial Intelligence
Bibliography
Index
Details
Erscheinungsjahr: 2019
Fachbereich: Management
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Buch
Seiten: 331
Inhalt: Gebunden
ISBN-13: 9781260452778
ISBN-10: 1260452778
Sprache: Englisch
Einband: Gebunden
Autor: Taddy, Matt
Hersteller: McGraw-Hill Education Ltd
McGraw-Hill Education
Maße: 241 x 192 x 32 mm
Von/Mit: Matt Taddy
Erscheinungsdatum: 15.09.2019
Gewicht: 0,729 kg
preigu-id: 114779085
Über den Autor
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.
Inhaltsverzeichnis
Preface
Introduction
1 Uncertainty
2 Regression
3 Regularization
4 Classification
5 Experiments
6 Controls
7 Factorization
8 Text as Data
9 Nonparametrics
10 Artificial Intelligence
Bibliography
Index
Details
Erscheinungsjahr: 2019
Fachbereich: Management
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Buch
Seiten: 331
Inhalt: Gebunden
ISBN-13: 9781260452778
ISBN-10: 1260452778
Sprache: Englisch
Einband: Gebunden
Autor: Taddy, Matt
Hersteller: McGraw-Hill Education Ltd
McGraw-Hill Education
Maße: 241 x 192 x 32 mm
Von/Mit: Matt Taddy
Erscheinungsdatum: 15.09.2019
Gewicht: 0,729 kg
preigu-id: 114779085
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