Foundations of programming, statistics, and machine learning for business analytics. (2023)

• Record Type: Book
• Further Information: Note: Ram Gopal, Dan Philps, Tillman Weyde.
• Authors: Gopal, Ram; Philps, Dan; Weyde, Tillman
• Contents: 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
• Edition: 1st
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2023
• Extent: 1 online resource
• Subjects: 658.401; Business planning -- Data processing; Strategic planning -- Data processing; Industrial management -- Statistical methods -- Computer programs
• Languages: English
• ISBNs: 9781529621556
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.