102,77 €
114,19 €
-10% with code: EXTRA
Causal Inference for Data Science
102,77 € 
- We will send in 10–14 business days.
When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning. Causal Inference for Data Science introduces data-centric techniques and methodologies you can use to estimate causal effects. The book dives into the relationship between causal inference and machine learning and the limitations of both. The practical techniques presented in this unique…
114.19
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- Author: Alex Ruiz de Villa
- Publisher: Manning Publications
- Year: 2023
- Pages: 275
- ISBN-10: 1633439658
- ISBN-13: 9781633439658
- Format: 18.8 x 23.4 x 2.5 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning. Causal Inference for Data Science introduces data-centric techniques and methodologies you can use to estimate causal effects. The book dives into the relationship between causal inference and machine learning and the limitations of both. The practical techniques presented in this unique book are accessible to anyone with intermediate data science skills and require no advanced statistics! The numerous insightful examples show you how to put causal inference into practice in the real world. You'll assess the performance of advertising platforms, choose the health treatments with the most positive impact, and learn how to approach the delicate art of product pricing from a causal inference perspective. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.EXTRA 10 % discount with code: EXTRA
102,77 €
114,19 €
We will send in 10–14 business days.
The promotion ends in 21d.22:39:59
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Alex Ruiz de Villa
- Publisher: Manning Publications
- Year: 2023
- Pages: 275
- ISBN-10: 1633439658
- ISBN-13: 9781633439658
- Format: 18.8 x 23.4 x 2.5 cm, minkšti viršeliai
- Language: English English
When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning. Causal Inference for Data Science introduces data-centric techniques and methodologies you can use to estimate causal effects. The book dives into the relationship between causal inference and machine learning and the limitations of both. The practical techniques presented in this unique book are accessible to anyone with intermediate data science skills and require no advanced statistics! The numerous insightful examples show you how to put causal inference into practice in the real world. You'll assess the performance of advertising platforms, choose the health treatments with the most positive impact, and learn how to approach the delicate art of product pricing from a causal inference perspective. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Reviews