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Beschreibung
This book provides an introduction to the key concepts in programming, statistics and machine learning needed by business analytics students, assuming no prior knowledge and taking a step-by-step approach to help students build up their confidence.
This book provides an introduction to the key concepts in programming, statistics and machine learning needed by business analytics students, assuming no prior knowledge and taking a step-by-step approach to help students build up their confidence.
Über den Autor
Ram D. Gopal is the Information Systems Society's Distinguished Fellow and Alan Turing Institute's Turing Fellow, a Professor of Information Systems and Management, and Pro-Dean for Research, Engagement, and Impact at the Warwick Business School.
Inhaltsverzeichnis
Chapter 1: Introduction To Programming And Statistics
Chapter 2: Summarizing And Visualizing Data
Chapter 3: Summarizing And Visualizing Data
Chapter 4: Programming Fundamentals
Chapter 5: Programming Fundamentals
Chapter 6: Distributions
Chapter 7: Statistical Testing - Concepts and Strategy
Chapter 8: Statistical Testing - Concepts and Strategy
Chapter 9: Nonparametric Tests
Chapter 10: Reality Check
Chapter 11: Fundamentals of Estimation
Chapter 12: Linear Models
Chapter 13: General Linear Models
Chapter 14: Regression Diagnostics And Structure
Chapter 15: Timeseries And Forecasting
Chapter 16: Introduction To Machine Learning
Chapter 17: Model Selection And Cross Validation
Chapter 18: Regression Models In Machine Learning
Chapter 19: Classification Models And Evaluation
Chapter 20: Automated Machine Learning
Chapter 2: Summarizing And Visualizing Data
Chapter 3: Summarizing And Visualizing Data
Chapter 4: Programming Fundamentals
Chapter 5: Programming Fundamentals
Chapter 6: Distributions
Chapter 7: Statistical Testing - Concepts and Strategy
Chapter 8: Statistical Testing - Concepts and Strategy
Chapter 9: Nonparametric Tests
Chapter 10: Reality Check
Chapter 11: Fundamentals of Estimation
Chapter 12: Linear Models
Chapter 13: General Linear Models
Chapter 14: Regression Diagnostics And Structure
Chapter 15: Timeseries And Forecasting
Chapter 16: Introduction To Machine Learning
Chapter 17: Model Selection And Cross Validation
Chapter 18: Regression Models In Machine Learning
Chapter 19: Classification Models And Evaluation
Chapter 20: Automated Machine Learning
Details
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Allgemeines |
Genre: | Importe, Wirtschaft |
Rubrik: | Recht & Wirtschaft |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781529620917 |
ISBN-10: | 1529620910 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Gopal, Ram
Philps, Dan Weyde, Tillman |
Hersteller: | SAGE Publications Ltd |
Verantwortliche Person für die EU: | Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de |
Maße: | 246 x 189 x 27 mm |
Von/Mit: | Ram Gopal (u. a.) |
Erscheinungsdatum: | 29.04.2023 |
Gewicht: | 0,98 kg |
Über den Autor
Ram D. Gopal is the Information Systems Society's Distinguished Fellow and Alan Turing Institute's Turing Fellow, a Professor of Information Systems and Management, and Pro-Dean for Research, Engagement, and Impact at the Warwick Business School.
Inhaltsverzeichnis
Chapter 1: Introduction To Programming And Statistics
Chapter 2: Summarizing And Visualizing Data
Chapter 3: Summarizing And Visualizing Data
Chapter 4: Programming Fundamentals
Chapter 5: Programming Fundamentals
Chapter 6: Distributions
Chapter 7: Statistical Testing - Concepts and Strategy
Chapter 8: Statistical Testing - Concepts and Strategy
Chapter 9: Nonparametric Tests
Chapter 10: Reality Check
Chapter 11: Fundamentals of Estimation
Chapter 12: Linear Models
Chapter 13: General Linear Models
Chapter 14: Regression Diagnostics And Structure
Chapter 15: Timeseries And Forecasting
Chapter 16: Introduction To Machine Learning
Chapter 17: Model Selection And Cross Validation
Chapter 18: Regression Models In Machine Learning
Chapter 19: Classification Models And Evaluation
Chapter 20: Automated Machine Learning
Chapter 2: Summarizing And Visualizing Data
Chapter 3: Summarizing And Visualizing Data
Chapter 4: Programming Fundamentals
Chapter 5: Programming Fundamentals
Chapter 6: Distributions
Chapter 7: Statistical Testing - Concepts and Strategy
Chapter 8: Statistical Testing - Concepts and Strategy
Chapter 9: Nonparametric Tests
Chapter 10: Reality Check
Chapter 11: Fundamentals of Estimation
Chapter 12: Linear Models
Chapter 13: General Linear Models
Chapter 14: Regression Diagnostics And Structure
Chapter 15: Timeseries And Forecasting
Chapter 16: Introduction To Machine Learning
Chapter 17: Model Selection And Cross Validation
Chapter 18: Regression Models In Machine Learning
Chapter 19: Classification Models And Evaluation
Chapter 20: Automated Machine Learning
Details
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Allgemeines |
Genre: | Importe, Wirtschaft |
Rubrik: | Recht & Wirtschaft |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781529620917 |
ISBN-10: | 1529620910 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Gopal, Ram
Philps, Dan Weyde, Tillman |
Hersteller: | SAGE Publications Ltd |
Verantwortliche Person für die EU: | Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de |
Maße: | 246 x 189 x 27 mm |
Von/Mit: | Ram Gopal (u. a.) |
Erscheinungsdatum: | 29.04.2023 |
Gewicht: | 0,98 kg |
Sicherheitshinweis