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Beschreibung
"Veridical Data Science gives a complete and comprehensive overview of the world of data science using a problem/solution-oriented prospective"--
"Veridical Data Science gives a complete and comprehensive overview of the world of data science using a problem/solution-oriented prospective"--
Über den Autor
Bin Yu is Chancellor's Distinguished Professor and Class of 1936 Second Chair in Statistics, EECS, and Computational Biology at the University of California, Berkeley, a 2006 Guggenheim Fellow, and a member of the US National Academy of Sciences and the American Academy of Arts and Sciences.
Rebecca L. Barter is Research Assistant Professor in Epidemiology at the University of Utah.
Rebecca L. Barter is Research Assistant Professor in Epidemiology at the University of Utah.
Inhaltsverzeichnis
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
[Mehr]
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
Details
Erscheinungsjahr: | 2024 |
---|---|
Fachbereich: | EDV |
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Thema: | Lexika |
Medium: | Buch |
Inhalt: | Einband - fest (Hardcover) |
ISBN-13: | 9780262049191 |
ISBN-10: | 0262049198 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Yu, Bin
Barter, Rebecca L. |
Hersteller: | MIT Press Ltd |
Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 232 x 157 x 37 mm |
Von/Mit: | Bin Yu (u. a.) |
Erscheinungsdatum: | 15.10.2024 |
Gewicht: | 0,962 kg |
Über den Autor
Bin Yu is Chancellor's Distinguished Professor and Class of 1936 Second Chair in Statistics, EECS, and Computational Biology at the University of California, Berkeley, a 2006 Guggenheim Fellow, and a member of the US National Academy of Sciences and the American Academy of Arts and Sciences.
Rebecca L. Barter is Research Assistant Professor in Epidemiology at the University of Utah.
Rebecca L. Barter is Research Assistant Professor in Epidemiology at the University of Utah.
Inhaltsverzeichnis
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
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
Details
Erscheinungsjahr: | 2024 |
---|---|
Fachbereich: | EDV |
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Thema: | Lexika |
Medium: | Buch |
Inhalt: | Einband - fest (Hardcover) |
ISBN-13: | 9780262049191 |
ISBN-10: | 0262049198 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Yu, Bin
Barter, Rebecca L. |
Hersteller: | MIT Press Ltd |
Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 232 x 157 x 37 mm |
Von/Mit: | Bin Yu (u. a.) |
Erscheinungsdatum: | 15.10.2024 |
Gewicht: | 0,962 kg |
Sicherheitshinweis