ISBN: 9781633439658 - causal inference for data science

Taschenbuch. Zustand: Neu. Neuware - From the Back Cover: 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. About the reader: For data scientists, machine learning engineers, statisticians and economists who want to learn a machine learning approach to causal inference.…

Causal Inference for Data Science

Ruiz de Villa, Alex

Sprache: Englisch

Verlag: MANNING PUBN, 2023

1633439658 / 9781633439658

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Zustand: New. &Uumlber den AutorAleix Ruiz de Villa is a freelance data science consultant with a PhD in mathematical analysis from the Universitat Autonoma de Barcelona. Aleix has worked in the journalism, retail, transportation and software .

Causal Inference for Data Science

Alex Ruiz de Villa

Sprache: Englisch

Verlag: Manning Publications, 2025

1633439658 / 9781633439658

Softcover

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Causal Inference for Data Science

Alex Ruiz de Villa

Sprache: Englisch

Verlag: Manning Publications Jan 2025, 2025

1633439658 / 9781633439658

Softcover

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Taschenbuch. Zustand: Neu. Neuware -From the Back Cover: 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. About the reader: For data scientists, machine learning engineers, statisticians and economists who want to learn a machine learning approach to causal inference. 392 pp. Englisch.…

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Causal Inference for Data Science

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Causal Inference for Data Science

CAUSAL INFERENCE FOR DATA SCIENCE

Causal Inference for Data Science

Causal Inference for Data Science

Causal Inference for Data Science

Causal Inference for Data Science