Causal inference and discovery in Python: (Record no. 5960)
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| 000 -LEADER | |
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| fixed length control field | 02029nam a22002417a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240210164507.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240210b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781804612989 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Item number | MOL |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Molak, Aleksander |
| 245 ## - TITLE STATEMENT | |
| Title | Causal inference and discovery in Python: |
| Remainder of title | unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Packt Publishing Ltd. |
| Place of publication, distribution, etc. | Birmingham |
| Date of publication, distribution, etc. | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxv, 423 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 3699.00 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely statistical mindset. Causal Inference and Discovery in Python helps you unlock the potential of causality. You’ll start with basic motivations behind causal thinking and a comprehensive introduction to Pearlian causal concepts, such as structural causal models, interventions, counterfactuals, and more. Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you’ll dive into the world of causal effect estimation, consistently progressing towards modern machine learning methods. Step-by-step, you’ll discover Python causal ecosystem and harness the power of cutting-edge algorithms. You’ll further explore the mechanics of how “causes leave traces” and compare the main families of causal discovery algorithms. The final chapter gives you a broad outlook into the future of causal AI where we examine challenges and opportunities and provide you with a comprehensive list of resources to learn more.<br/><br/>(https://www.packtpub.com/product/causal-inference-and-discovery-in-python/9781804612989) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer programming |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Programming languages |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine Learning |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Jaokar, Ajit |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
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| Dewey Decimal Classification | IT & Decisions Sciences | TB3444 | 24-01-2024 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 02/10/2024 | Technical Bureau India Pvt. Ltd. | 2570.80 | 005.133 MOL | 005749 | 02/10/2024 | 1 | 3699.00 | 02/10/2024 | Book |