Modern business analytics / Matt Taddy ; Leslie Hendrix ; Matthew C. Harding.
Material type:
TextPublication details: New York : McGraw Hill, ©2023.Edition: International student editionDescription: xxii, 442 pages: Illustrations, charts; 26 cmContent type: - text
- unmediated
- volume
- 9781266108334
- 658.4033 H21m 2023
| Item type | Current library | Call number | Status | Barcode | |
|---|---|---|---|---|---|
Books
|
FEU - Cavite Higher Education HED Library | CIR CIR 658.4033 T12m 2023 (Browse shelf(Opens below)) | Available | HED6427 |
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| CIR CIR 658.05 An61d 2022 Data analytics for business : foundations and industry applications / | CIR CIR 658.3 N76 2023 Human resource management : gaining a competitive advantage / | CIR CIR 658.4033 B97 2023 Business analytics : communicating with numbers / | CIR CIR 658.4033 T12m 2023 Modern business analytics / | CIR CIR 658.5 C11o 2023 Operations management / | CIR CIR 658.84 C99i 2023 International marketing / | CIR CIR 658.84 C99i 2023 Ergonomics and facilities planning for the hospitality industry / |
Includes index
in English
Chapter 1: Regression Chapter 2: Uncertainty Quantification Chapter 3: Regularization and Selection Chapter 4: Classification Chapter 5: Causal Inference with Experiments Chapter 6: Causal Inference with Controls Chapter 7: Trees and Forests Chapter 8: Factor Models Chapter 9: Text as Data Chapter 10: Deep Learning Appendix: R Primer
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