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Data Science for Business : What You Need to Know about Data Mining and Data-Analytic Thinking by Tom Fawcett and Foster Provost (2013, Trade Paperback)
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Data Science for Business : What You Need to Know about Da2013, Trade Paperback)
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About this product
Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101449361323
ISBN-139781449361327
eBay Product ID (ePID)166402440
Product Key Features
Number of Pages413 Pages
LanguageEnglish
Publication NameData Science for Business : What You Need to Know about Data Mining and Data-Analytic Thinking
Publication Year2013
SubjectData Modeling & Design, General, Databases / Data Mining, Enterprise Applications / General, Business Mathematics
TypeTextbook
AuthorTom Fawcett, Foster Provost
Subject AreaComputers, Business & Economics
FormatTrade Paperback
Dimensions
Item Height0.9 in
Item Weight24.8 Oz
Item Length9 in
Item Width7.2 in
Additional Product Features
Intended AudienceScholarly & Professional
Dewey Edition23
IllustratedYes
Dewey Decimal006.312
Table Of ContentPraise Preface Chapter 1: Introduction: Data-Analytic Thinking Chapter 2: Business Problems and Data Science Solutions Chapter 3: Introduction to Predictive Modeling: From Correlation to Supervised Segmentation Chapter 4: Fitting a Model to Data Chapter 5: Overfitting and Its Avoidance Chapter 6: Similarity, Neighbors, and Clusters Chapter 7: Decision Analytic Thinking I: What Is a Good Model? Chapter 8: Visualizing Model Performance Chapter 9: Evidence and Probabilities Chapter 10: Representing and Mining Text Chapter 11: Decision Analytic Thinking II: Toward Analytical Engineering Chapter 12: Other Data Science Tasks and Techniques Chapter 13: Data Science and Business Strategy Chapter 14: Conclusion Proposal Review Guide Another Sample Proposal Glossary Bibliography Index Colophon
SynopsisData Science for Business is intended for those who need to understand data science/data mining, and those who want to develop their skill at data-analytic thinking. This is not a book about algorithms. Instead it presents a set of fundamental principles for extracting useful knowledge from data., Data Science for Business is intended for those who need to understand data science/data mining, and those who want to develop their skill at data-analytic thinking. This is not a book about algorithms. Instead it presents a set of fundamental principles for extracting useful knowledge from data. These fundamental principles are the foundation for many algorithms and techniques for data mining, but also underlie the processes and methods for approaching business problems data-analytically, evaluating particular data science solutions, and evaluating general data science plans. After reading the book, the reader should be able to: Envision data science opportunities Discuss data science intelligently with data scientists and with other stakeholders better understand proposals for data science projects and investments participate integrally in data science projects, Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You'll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company's data science projects. You'll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization--and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you're to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates
LC Classification NumberQA76.9.D343
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Ratings and Reviews
Most relevant reviews
- Dec 02, 2019
Great Book
The book is great for understanding the business aspect in data science field.Verified purchase: YesCondition: New
- Oct 06, 2020
Great book to grab core concepts
Verified purchase: YesCondition: Pre-owned
