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Veridical Data Science: Die Praxis verantwortungsvoller Datenanalyse und -entscheidung-
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eBay-Artikelnr.:286101068019
Artikelmerkmale
- Artikelzustand
- Book Title
- Veridical Data Science: The Practice of Responsible Data Analysis
- Publication Date
- 2024-10-15
- Pages
- 526
- ISBN
- 9780262049191
Über dieses Produkt
Product Identifiers
Publisher
MIT Press
ISBN-10
0262049198
ISBN-13
9780262049191
eBay Product ID (ePID)
4065005178
Product Key Features
Number of Pages
526 Pages
Language
English
Publication Name
Veridical Data Science : the Practice of Responsible Data Analysis and Decision Making
Subject
Computer Science, General, Databases / Data Mining
Publication Year
2024
Type
Textbook
Subject Area
Mathematics, Computers
Series
Adaptive Computation and Machine Learning Ser.
Format
Hardcover
Dimensions
Item Height
1.5 in
Item Weight
33.7 Oz
Item Length
9.3 in
Item Width
6.3 in
Additional Product Features
Intended Audience
Trade
LCCN
2023-046257
Table Of Content
Contents vii Acknowledgments xv Preface xvii I PART 1: AN INTRODUCTION TO VERIDICAL DATA SCIENCE 1 1 An introduction to veridical data science 3 2 The Data Science Life Cycle 23 3 Setting up your data science project 43 II PART 2: PREPARING, EXPLORING, AND DESCRIBING DATA 65 4 Data Preparation 67 5 Exploratory Data Analysis 109 6 Principal component analysis 149 7 Clustering 197 III PART 3: PREDICTION 253 8 An introduction to prediction problems 255 9 Predicting continuous responses with Least Squares 275 10 Extending the Least Squares algorithm 311 11 Predicting binary responses and logistic regression 353 12 Decision trees and random forest 403 13 Producing the final prediction results 437 14 Conclusion 473 Answers to True or False exercises 481
Synopsis
Using real-world data case studies, this innovative and accessible textbook introduces an actionable framework for conducting trustworthy data science. Most textbooks present data science as a linear analytic process involving a set of statistical and computational techniques without accounting for the challenges intrinsic to real-world applications. Veridical Data Science , by contrast, embraces the reality that most projects begin with an ambiguous domain question and messy data; it acknowledges that datasets are mere approximations of reality while analyses are mental constructs. Bin Yu and Rebecca Barter employ the innovative Predictability, Computability, and Stability (PCS) framework to assess the trustworthiness and relevance of data-driven results relative to three sources of uncertainty that arise throughout the data science life cycle: the human decisions and judgment calls made during data collection, cleaning, and modeling. By providing real-world data case studies, intuitive explanations of common statistical and machine learning techniques, and supplementary R and Python code, Veridical Data Science offers a clear and actionable guide for conducting responsible data science. Requiring little background knowledge, this lucid, self-contained textbook provides a solid foundation and principled framework for future study of advanced methods in machine learning, statistics, and data science. Presents the Predictability, Computability, and Stability (PCS) methodology for producing trustworthy data-driven results Teaches how a data science project should be conducted from beginning to end, including extensive discussion of the data scientist's decision-making process Cultivates critical thinking throughout the entire data science life cycle Provides practical examples and illuminating case studies of real-world data analysis problems with associated code, exercises, and solutions Suitable for advanced undergraduate and graduate students, domain scientists, and practitioners, Using real-world data case studies, this innovative and accessible textbook introduces an actionable framework for conducting trustworthy data science. Most textbooks present data science as a linear analytic process involving a set of statistical and computational techniques without accounting for the challenges intrinsic to real-world applications. Veridical Data Science , by contrast, embraces the reality that most projects begin with an ambiguous domain question and messy data; it acknowledges that datasets are mere approximations of reality while analyses are mental constructs. Bin Yu and Rebecca Barter employ the innovative Predictability, Computability, and Stability (PCS) framework to assess the trustworthiness and relevance of data-driven results relative to three sources of uncertainty that arise throughout the data science life cycle- the human decisions and judgment calls made during data collection, cleaning, and modeling. By providing real-world data case studies, intuitive explanations of common statistical and machine learning techniques, and supplementary R and Python code, Veridical Data Science offers a clear and actionable guide for conducting responsible data science. Requiring little background knowledge, this lucid, self-contained textbook provides a solid foundation and principled framework for future study of advanced methods in machine learning, statistics, and data science. Presents the Predictability, Computability, and Stability (PCS) methodology for producing trustworthy data-driven results Teaches how a data science project should be conducted from beginning to end, including extensive discussion of the data scientist's decision-making process Cultivates critical thinking throughout the entire data science life cycle Provides practical examples and illuminating case studies of real-world data analysis problems with associated code, exercises, and solutions Suitable for advanced undergraduate and graduate students, domain scientists, and practitioners
LC Classification Number
QA76.9.D343Y834 2024
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AlibrisBooks
98,8% positive Bewertungen•2,0 Mio. Artikel verkauft
Angemeldet als gewerblicher Verkäufer
Verkäuferbewertungen (530.852)
- e***n (390)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufGreat transaction, exactly as described, packed well, and promptly shipped on August 6th. Unfortunately the U.S. Postal Service took 23 calendar days to deliver the book. It was shipped from Pennsylvania, to Atlanta, past Alabama to Texas, enjoyed several days in Texas, then to Minneapolis, Jacksonville, Florida, back to Atlanta, finally to Birmingham, and Huntsville. The seller was very responsive and I decided it was interesting to see if/how the book would arrive. Thanks, Joe
- 0***g (380)- Bewertung vom Käufer.Letzter MonatBestätigter KaufExcellent purchase. Was able to get all three items from the one seller. Seller was able to bundle all three items together into one package. Items as described and arrived in perfect condition. Good communication around shipping and tracking as items delayed and not able to be delivered by original estimate. Thanks to shipping updates I was able to track the items arriving before the extended delivery time. Thank you for making these items available on EBay.
- m***m (2356)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufI’m thrilled with my recent purchase . The website was user-friendly, and the product descriptions were accurate. Customer service was prompt and helpful, answering all my questions. My order arrived quickly, well-packaged, and the product exceeded my expectations in quality. I’m impressed with the attention to detail and the overall experience. I’ll definitely shop here again and highly recommend from this seller to others. Thank you for a fantastic experience!Tobin's Spirit Guide: Official Ghostbusters Edition by Erik Burnham: Used (Nr. 404302598631)