Causal Inference in Python : (Record no. 34950)
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
---|---|
ISBN | 9781098140250 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.133 |
Author Mark | FAC-C |
100 ## - MAIN ENTRY--AUTHOR | |
Author Name | Facure, Matheus |
245 ## - TITLE STATEMENT | |
Title | Causal Inference in Python : |
Sub-Title | Applying Causal Inference in the Tech Industry / |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of Publication | USA: |
Name of publisher, distributor, etc. | O'Reilly Media press, |
Date of publication, distribution, etc. | 2023. |
300 ## - PHYSICAL DESCRIPTION | |
Pages | xix, 385p |
Dimensions | 20.5 x 27cm |
500 ## - GENERAL NOTE | |
General note | Includes index. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Subject / Department | In this book, author Matheus Facure, senior data scientist at Nubank, explains the largely untapped potential of causal inference for estimating impacts and effects. Managers, data scientists, and business analysts will learn classical causal inference methods like randomized control trials (A/B tests), linear regression, propensity score, synthetic controls, and difference-in-differences. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
Withdrawn status | Not for loan | Collection code | Permanent Location | Current Location | Date acquired | Source of acquisition | Full Call Number | Accession No./Barcode | Date last seen | Koha item type |
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Computer Science | Air University Multan Campus Library | Air University Multan Campus Library | 05/21/2025 | Ali book service | 005.133 FAC-C | P004955 | 05/21/2025 | Book |