Statistical Methods For Data Science – all Bücher und CDs

Mathematical and Statistical Methods for Actuarial Sciences and Finance

The book presents a collection of peer-reviewed short papers selected from those presented at the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF2024…

deliverable within 2-3 weeks

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New Perspectives in Mathematical and Statistical Methods for Actuarial Sciences and Finance

The scientific exchange between mathematicians, statisticians and econometricians working in actuarial sciences and finance is improving the research on these topics and producing numerous meaningful scie…

lieferbar ab 14.1.2026.

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Kunihiro Kimura
Exploring Social Processes: Statistical Methods for Sociological Research

This book advocates an exploratory approach to survey data analysis, rather than confirmatory approaches, which many other textbooks explicitly or implicitly recommend. Most survey data, especially attitu…

lieferbar ab 13.7.2027.

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Andrea Bellavia
Statistical Methods for Environmental Mixtures

This book provides a comprehensive introduction to statistical approaches for the assessment of complex environmental exposures, such as pollutants and chemical mixtures, within the exposome framework. En…

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Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

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Sustainable Statistical and Data Science Methods and Practices

This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2-6, 2022. They focus on sustainable methods and practices of using statistics and data science to addr…

deliverable within 2-3 weeks

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Carlos Fernandez-Granda
Probability and Statistics for Data Science

This accessible book for graduate students and data scientists provides a solid background in probabilistic and statistical concepts relevant to data science. Emphasis is placed on practice, with examples…

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Carlos Fernandez-Granda
Probability and Statistics for Data Science

This accessible book for graduate students and data scientists provides a solid background in probabilistic and statistical concepts relevant to data science. Emphasis is placed on practice, with examples…

deliverable within 2-3 weeks

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Statistical Models and Learning Methods for Complex Data

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data …

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Omar Hijab
Math for Data Science

Math for Data Science presents the mathematical foundations necessary for studying and working in Data Science. The book is suitable for courses in applied mathematics, business analytics, computer scienc…

deliverable within 2-3 weeks

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Sandhya Vinayakam, A. Lakshmi Muddana
Python for Data Science

The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in data science. This book aims to help the readers understand the basic and advanced concep…

deliverable within 2-3 weeks

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Steven E. Rigdon, Jr Ronald D. Fricker, Douglas C. Montgomery
Introduction to Probability and Statistics for Data Science

Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, biostatistics, e…

deliverable within 2-3 weeks

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Kenneth J. Berry, Janis E. Johnston, Michael A. Long, Paul Stretesky
Permutation Statistical Methods for Criminology and Criminal Justice

This book takes a unique approach to explaining permutation statistical methods for advanced undergraduate students, graduate students, faculty, researchers, and other professionals interested in the area…

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Grey Ballard, Tamara G Kolda
Tensor Decompositions for Data Science

Aimed at students in mathematics, computer science, statistics, engineering, and physical and life sciences, this book introduces the foundations of tensor decompositions, a data analysis methodology ubiq…

deliverable within 1-2 weeks

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Haviv Moshe
Continuous Optimization For Data Science

The text is divided into three main parts: unconstrained optimization, constrained optimization, and linear programming. The first part addresses unconstrained optimization in single-variable and multivar…

deliverable within 2-3 weeks

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Fedor
Cleaning Up Your Act: Statistical Methods for Detecting Outliers in Regression

"Cleaning Up Your Act: Statistical Methods for Detecting Outliers in Regression" dives into the world of data analysis, specifically focusing on a crucial step: identifying outliers in regressio…

deliverable within 2-3 weeks

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Alex Ruiz de Villa
Causal Inference for Data Science

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 infer…

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Allon Adir, Ehud Aharoni, Nir Drucker, Ronen Levy
Homomorphic Encryption for Data Science (HE4DS)

This book provides basic knowledge required by an application developer to understand and use the Fully Homomorphic Encryption (FHE) technology for privacy preserving Data-Science applications. The author…

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Vidya Subramanian
Applied Machine Learning for Data Science Practitioners

A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML).Applied Machine Learning for Data Science Practitioners offers a pract…

lieferbar in mind. 4 Wochen

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Uwe Engel, Lena Dahlhaus
Data Science in Social Research

The emergent field of CSS is growing in scientific importance and public interest. There is no doubt that the field of social science needs to keep up with a rapidly changing society; the ubiquity of digi…

lieferbar ab 2.2.2026.

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